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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.
HPCAL1 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
56.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
238.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
224.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
166.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
160.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
160.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
147.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
127.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
121.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
117.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
115.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
115.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
111.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
109.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
105.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
104.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
102.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
101.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
100.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
95.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
94.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
89.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
86.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
86.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
80.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
80.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
80.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
80.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
77.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
73.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
73.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
73.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
72.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
72.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
70.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
69.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
69.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
67.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
65.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
65.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
65.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
65.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
64.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
62.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
62.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
61.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
61.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
60.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
60.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
60.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
60.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
59.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
58.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
58.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
58.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
57.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
57.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
55.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
55.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
54.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
53.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
52.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
51.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
50.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
49.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
48.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
47.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
45.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
45.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
45.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
44.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
44.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
42.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
39.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
38.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
37.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
37.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
35.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
31.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
30.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
30.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
28.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
21.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
19.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.3
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.
HPCAL1 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
50.7
Number of samples
486
Samples
Sample
Description
TPM
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
206.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
199.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
177.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
175.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
173.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
170.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
155.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
144.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
143.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
121.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
121.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
120.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
116.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
115.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
98.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
95.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
91.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
91.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
89.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
88.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
84.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
84.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
82.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
81.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
81.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
81.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
80.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
78.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
78.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
76.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
75.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
74.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
72.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
72.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
71.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
71.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
71.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
70.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
70.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
69.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
69.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
68.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
66.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
66.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
65.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
65.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
64.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
63.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
63.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
60.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
58.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
56.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
52.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
52.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
52.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
49.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
48.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
46.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
45.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
43.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
42.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
41.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
40.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
38.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
35.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
35.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
34.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
34.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
32.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
28.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
26.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
25.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
HPCAL1 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
51.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
126.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
121.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
110.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
108.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
105.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
85.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
73.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
70.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
70.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
69.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
69.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
68.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
63.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
61.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
60.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
59.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
59.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
55.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
52.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
50.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
49.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
44.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
41.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
41.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
39.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
39.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
38.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
37.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
35.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
32.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
HPCAL1 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
48.4
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
179.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
169.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
149.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
138.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
116.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
97.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
97.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
94.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
81.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
74.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
73.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
69.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
67.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
67.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
66.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
66.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
61.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
61.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
60.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
55.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
55.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
55.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
44.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
38.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
31.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
31.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
29.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
28.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
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Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
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Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
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.