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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.
C1S 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
90.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
584.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
536.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
458.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
395.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
364.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
360.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
327.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
326.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
326.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
318.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
318.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
289.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
278.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
272.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
263.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
262.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
248.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
244.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
244.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
238.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
225.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
219.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
218.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
216.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
214.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
207.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
195.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
188.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
188.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
186.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
183.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
177.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
177.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
171.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
170.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
169.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
168.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
168.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
167.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
166.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
165.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
165.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
158.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
158.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
156.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
153.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
148.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
145.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
144.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
142.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
136.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
135.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
134.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
133.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
133.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
133.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
133.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
132.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
131.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
130.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
127.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
127.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
123.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
121.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
118.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
118.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
117.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
109.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
109.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
108.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
106.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
101.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
101.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
101.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
101.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
99.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
99.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
94.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
94.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
94.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
93.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
93.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
92.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
91.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
91.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
88.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
88.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
85.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
85.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
81.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
80.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
80.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
77.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
75.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
73.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
72.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
72.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
72.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
71.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
70.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
69.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
68.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
68.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
65.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
63.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
61.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
57.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
55.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
55.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
53.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
53.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
52.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
50.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
49.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
41.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
41.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
39.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
20.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
C1S 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
112.8
Number of samples
486
Samples
Sample
Description
TPM
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
365.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
334.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
307.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
302.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
285.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
281.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
281.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
276.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
276.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
272.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
263.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
261.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
259.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
257.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
252.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
247.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
246.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
245.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
244.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
235.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
235.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
234.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
234.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
232.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
231.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
231.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
230.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
227.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
225.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
219.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
219.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
219.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
218.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
217.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
213.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
212.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
210.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
210.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
210.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
210.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
209.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
206.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
206.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
205.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
203.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
202.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
201.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
199.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
197.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
196.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
195.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
194.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
192.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
189.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
187.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
186.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
186.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
185.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
185.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
181.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
181.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
181.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
180.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
180.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
180.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
180.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
180.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
180.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
179.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
178.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
178.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
177.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
177.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
176.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
176.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
176.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
175.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
175.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
174.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
174.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
173.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
172.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
172.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
170.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
169.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
168.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
167.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
167.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
165.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
165.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
165.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
165.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
165.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
164.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
163.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
163.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
163.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
162.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
161.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
160.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
159.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
159.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
159.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
158.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
157.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
157.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
156.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
156.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
155.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
155.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
155.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
155.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
154.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
153.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
153.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
152.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
152.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
151.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
150.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
150.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
150.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
149.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
149.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
148.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
147.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
147.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
147.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
146.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
146.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
145.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
145.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
144.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
144.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
144.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
143.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
143.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
142.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
142.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
141.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
141.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
141.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
141.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
141.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
140.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
140.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
140.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
140.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
140.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
139.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
139.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
139.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
138.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
138.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
138.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
138.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
138.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
138.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
136.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
136.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
134.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
134.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
134.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
134.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
133.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
133.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
132.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
130.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
130.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
130.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
129.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
129.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
128.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
127.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
127.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
127.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
127.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
127.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
126.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
126.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
126.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
126.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
126.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
125.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
125.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
124.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
124.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
124.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
124.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
123.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
122.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
122.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
122.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
121.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
121.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
121.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
121.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
120.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
120.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
120.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
119.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
119.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
118.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
118.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
117.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
117.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
117.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
116.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
116.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
116.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
115.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
115.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
115.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
115.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
115.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
114.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
114.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
113.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
112.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
111.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
111.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
111.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
110.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
110.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
109.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
109.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
108.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
108.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
108.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
107.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
106.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
105.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
105.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
103.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
103.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
103.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
102.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
102.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
102.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
102.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
101.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
101.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
101.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
99.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
99.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
98.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
98.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
98.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
97.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
96.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
95.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
95.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
95.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
95.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
95.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
94.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
94.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
93.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
93.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
92.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
92.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
91.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
91.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
91.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
91.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
91.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
89.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
89.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
88.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
88.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
88.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
88.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
86.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
85.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
85.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
85.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
84.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
83.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
83.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
82.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
81.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
81.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
81.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
81.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
81.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
79.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
79.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
78.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
78.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
75.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
75.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
74.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
71.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
71.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
69.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
68.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
67.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
66.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
65.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
65.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
64.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
63.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
63.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
62.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
61.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
50.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
43.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
37.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
34.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
31.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
29.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
29.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
27.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
26.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
25.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
24.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
22.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
22.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
C1S 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
94.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
593.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
364.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
344.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
292.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
263.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
252.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
240.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
233.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
229.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
225.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
215.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
183.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
179.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
178.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
167.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
154.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
147.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
138.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
127.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
123.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
122.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
118.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
116.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
103.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
94.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
94.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
93.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
93.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
89.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
87.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
86.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
86.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
77.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
73.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
72.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
71.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
69.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
69.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
66.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
62.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
58.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
49.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
43.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
40.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
40.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
37.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
28.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
22.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
15.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
C1S 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
120.1
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
431.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
412.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
393.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
386.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
373.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
365.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
349.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
345.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
317.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
309.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
300.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
296.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
296.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
295.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
284.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
276.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
274.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
264.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
260.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
260.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
259.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
257.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
254.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
250.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
248.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
247.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
240.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
235.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
225.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
222.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
220.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
217.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
217.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
203.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
198.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
197.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
190.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
187.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
185.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
181.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
180.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
179.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
179.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
178.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
178.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
176.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
167.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
163.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
163.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
162.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
161.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
157.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
152.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
150.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
148.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
146.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
145.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
144.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
142.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
141.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
140.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
137.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
136.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
135.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
135.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
133.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
131.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
130.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
128.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
127.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
126.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
124.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
123.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
122.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
120.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
119.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
119.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
118.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
118.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
117.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
114.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
111.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
111.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
111.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
110.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
107.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
104.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
103.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
102.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
99.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
99.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
97.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
97.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
96.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
92.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
91.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
90.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
87.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
87.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
86.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
86.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
85.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
85.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
83.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
83.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
82.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
81.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
80.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
78.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
77.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
77.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
77.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
76.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
74.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
72.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
72.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
64.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
60.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
54.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
18.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
