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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.
SCAMP2 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
75.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
185.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
157.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
145.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
143.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
138.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
137.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
137.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
135.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
135.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
133.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
129.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
128.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
127.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
125.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
125.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
124.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
124.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
123.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
120.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
120.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
120.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
119.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
117.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
116.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
115.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
115.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
115.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
114.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
113.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
113.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
111.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
111.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
109.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
109.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
109.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
109.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
107.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
105.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
105.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
105.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
104.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
104.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
103.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
102.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
99.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
98.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
98.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
97.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
97.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
96.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
95.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
95.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
95.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
95.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
93.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
93.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
93.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
92.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
92.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
91.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
91.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
90.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
90.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
90.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
90.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
89.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
89.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
89.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
89.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
88.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
88.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
88.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
88.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
86.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
86.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
85.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
85.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
84.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
83.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
83.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
82.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
82.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
82.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
82.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
81.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
80.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
79.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
79.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
79.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
78.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
77.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
76.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
76.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
76.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
75.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
74.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
74.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
72.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
72.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
72.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
72.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
71.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
70.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
69.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
69.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
68.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
67.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
66.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
65.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
65.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
65.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
64.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
64.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
64.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
64.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
64.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
63.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
62.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
61.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
60.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
60.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
60.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
59.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
59.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
57.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
57.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
57.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
56.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
56.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
56.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
55.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
54.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
51.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
51.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
51.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
50.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
49.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
48.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
47.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
43.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
34.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
34.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
33.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
26.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SCAMP2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
75.5
Number of samples
486
Samples
Sample
Description
TPM
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
151.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
127.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
126.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
123.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
121.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
120.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
119.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
118.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
117.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
117.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
116.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
116.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
115.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
115.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
115.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
114.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
114.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
113.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
113.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
112.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
112.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
112.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
111.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
111.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
111.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
110.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
110.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
110.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
109.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
108.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
108.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
108.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
108.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
108.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
106.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
106.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
106.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
106.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
105.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
104.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
104.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
103.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
103.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
102.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
102.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
101.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
101.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
100.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
100.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
100.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
99.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
99.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
98.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
98.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
97.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
97.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
96.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
96.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
95.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
95.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
95.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
95.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
95.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
94.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
94.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
94.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
94.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
94.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
93.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
93.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
93.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
93.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
93.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
93.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
92.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
92.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
92.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
92.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
92.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
91.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
91.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
91.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
90.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
90.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
90.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
90.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
90.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
90.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
89.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
88.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
88.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
88.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
88.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
88.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
87.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
87.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
87.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
87.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
86.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
86.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
86.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
85.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
85.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
85.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
85.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
85.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
84.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
84.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
84.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
84.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
84.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
83.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
83.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
83.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
83.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
83.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
83.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
82.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
82.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
82.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
82.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
82.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
82.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
82.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
81.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
81.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
81.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
81.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
81.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
81.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
80.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
80.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
80.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
80.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
80.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
80.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
80.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
80.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
80.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
80.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
80.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
80.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
79.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
79.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
78.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
78.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
77.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
76.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
76.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
76.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
76.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
75.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
74.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
74.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
73.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
73.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
73.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
72.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
72.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
72.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
72.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
71.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
71.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
70.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
70.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
69.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
68.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
67.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
66.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
66.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
66.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
65.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
65.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
64.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
64.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
64.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
64.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
62.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
62.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
62.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
61.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
61.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
61.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
60.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
60.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
59.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
58.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
58.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
55.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
54.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
48.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
SCAMP2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
69.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
160.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
147.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
144.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
127.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
123.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
121.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
113.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
113.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
111.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
109.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
108.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
104.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
103.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
103.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
102.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
101.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
97.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
90.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
87.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
86.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
81.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
81.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
78.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
77.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
77.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
76.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
75.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
74.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
72.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
71.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
67.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
66.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
66.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
64.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
59.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
58.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
56.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
52.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
52.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
50.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
43.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
37.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
31.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SCAMP2 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
68.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
179.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
142.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
135.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
127.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
113.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
110.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
110.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
105.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
103.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
102.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
101.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
99.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
97.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
96.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
94.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
94.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
93.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
89.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
89.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
88.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
88.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
88.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
87.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
87.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
87.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
86.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
86.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
86.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
85.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
85.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
85.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
84.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
83.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
83.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
83.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
81.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
81.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
81.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
80.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
79.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
79.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
78.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
77.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
77.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
75.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
74.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
74.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
73.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
73.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
71.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
70.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
70.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
70.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
69.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
68.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
67.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
65.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
65.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
64.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
64.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
62.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
57.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
55.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
