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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.
IGFBP3 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
80.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1695.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
780.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
389.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
373.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
294.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
283.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
280.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
248.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
224.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
196.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
195.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
194.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
181.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
176.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
170.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
165.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
165.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
158.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
158.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
155.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
155.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
149.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
149.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
147.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
147.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
143.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
141.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
139.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
136.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
134.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
134.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
132.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
130.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
129.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
128.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
127.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
127.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
126.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
122.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
120.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
120.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
119.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
119.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
116.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
114.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
114.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
113.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
112.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
109.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
107.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
106.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
105.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
104.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
103.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
102.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
101.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
100.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
99.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
97.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
95.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
94.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
93.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
89.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
89.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
89.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
88.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
87.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
86.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
85.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
83.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
82.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
81.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
80.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
79.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
79.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
78.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
77.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
75.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
75.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
74.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
73.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
71.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
68.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
67.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
66.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
66.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
63.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
63.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
62.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
59.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
59.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
59.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
57.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
57.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
53.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
52.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
52.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
51.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
49.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
46.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
46.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
43.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
42.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
40.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
39.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
38.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
33.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
30.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
24.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
21.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
20.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
17.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 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.
IGFBP3 is potential prognostic, high expression is unfavorable 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
98.0
Number of samples
486
Samples
Sample
Description
TPM
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
642.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
478.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
398.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
396.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
392.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
350.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
322.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
308.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
303.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
291.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
282.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
280.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
278.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
276.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
276.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
272.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
263.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
263.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
253.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
246.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
244.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
238.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
233.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
228.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
225.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
225.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
224.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
223.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
218.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
217.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
217.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
215.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
212.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
208.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
206.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
206.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
205.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
202.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
199.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
198.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
196.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
193.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
188.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
187.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
184.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
182.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
177.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
176.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
174.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
174.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
172.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
171.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
171.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
170.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
169.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
168.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
168.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
167.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
166.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
165.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
163.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
163.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
161.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
161.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
160.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
160.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
156.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
152.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
152.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
151.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
150.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
149.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
149.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
148.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
145.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
145.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
144.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
144.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
142.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
141.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
140.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
138.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
138.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
138.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
138.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
138.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
137.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
137.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
137.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
137.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
135.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
135.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
134.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
134.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
133.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
133.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
133.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
130.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
129.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
128.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
128.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
128.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
128.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
128.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
127.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
125.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
124.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
124.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
124.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
123.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
123.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
123.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
123.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
123.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
123.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
122.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
121.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
120.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
119.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
119.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
119.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
119.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
118.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
118.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
116.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
116.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
115.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
115.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
114.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
114.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
113.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
113.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
112.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
112.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
111.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
111.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
111.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
110.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
109.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
109.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
109.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
109.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
108.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
108.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
108.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
108.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
107.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
107.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
107.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
107.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
107.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
106.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
104.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
104.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
104.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
104.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
103.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
102.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
102.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
102.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
102.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
102.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
101.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
101.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
101.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
99.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
99.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
99.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
98.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
98.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
98.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
96.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
96.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
96.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
96.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
96.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
95.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
95.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
95.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
94.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
93.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
93.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
92.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
91.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
90.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
90.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
89.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
89.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
89.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
89.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
89.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
88.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
88.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
87.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
87.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
87.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
86.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
86.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
85.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
84.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
83.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
83.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
83.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
82.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
82.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
81.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
81.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
80.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
79.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
79.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
78.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
77.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
77.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
77.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
77.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
76.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
76.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
76.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
75.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
75.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
75.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
75.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
74.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
74.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
72.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
72.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
71.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
71.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
69.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
68.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
67.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
64.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
63.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
62.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
60.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
59.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
57.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
55.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
54.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
52.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
45.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
41.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
31.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
29.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
28.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
28.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
27.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
21.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
21.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
21.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
20.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
19.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
17.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
13.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
11.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
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.
IGFBP3 is potential prognostic, high expression is unfavorable 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
76.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
405.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
308.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
240.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
191.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
179.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
168.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
156.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
150.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
145.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
144.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
144.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
132.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
122.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
116.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
115.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
113.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
107.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
106.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
100.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
97.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
96.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
95.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
91.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
91.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
87.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
86.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
86.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
85.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
85.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
82.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
81.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
66.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
53.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
43.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
41.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
40.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
29.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGFBP3 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
77.0
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
388.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
357.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
287.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
250.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
241.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
223.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
216.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
206.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
205.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
199.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
190.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
184.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
171.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
163.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
154.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
147.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
145.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
145.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
141.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
139.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
138.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
137.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
137.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
136.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
135.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
133.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
131.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
130.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
126.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
123.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
123.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
120.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
117.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
115.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
113.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
113.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
112.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
112.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
111.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
104.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
103.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
101.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
100.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
99.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
99.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
99.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
98.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
97.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
97.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
97.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
96.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
96.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
96.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
96.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
95.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
92.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
86.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
85.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
85.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
85.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
83.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
82.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
81.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
80.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
78.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
77.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
75.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
75.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
71.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
69.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
67.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
61.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
57.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
37.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
31.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
24.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
20.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
19.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
16.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
