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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.
KCNN4 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
54.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
222.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
164.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
159.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
157.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
140.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
127.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
125.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
124.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
124.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
123.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
123.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
121.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
121.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
119.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
119.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
119.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
119.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
116.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
114.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
112.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
108.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
105.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
104.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
103.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
102.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
102.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
102.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
99.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
99.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
98.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
98.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
98.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
98.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
96.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
94.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
90.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
88.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
87.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
86.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
85.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
84.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
83.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
82.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
81.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
80.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
80.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
79.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
79.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
79.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
78.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
77.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
77.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
75.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
73.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
73.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
72.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
71.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
70.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
69.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
65.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
63.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
63.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
63.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
62.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
61.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
61.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
60.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
58.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
58.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
55.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
54.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
54.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
52.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
51.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
49.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
49.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
49.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
46.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
44.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
43.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
40.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
40.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
39.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
39.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
34.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
32.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
30.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
23.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
17.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
16.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
15.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
12.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
5.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
3.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
KCNN4 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
40.9
Number of samples
486
Samples
Sample
Description
TPM
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
188.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
154.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
136.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
135.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
131.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
120.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
118.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
110.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
108.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
105.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
99.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
94.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
93.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
93.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
93.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
91.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
90.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
90.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
89.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
87.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
86.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
85.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
84.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
84.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
82.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
82.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
80.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
78.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
78.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
78.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
74.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
73.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
73.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
72.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
71.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
70.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
70.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
69.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
69.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
66.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
65.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
59.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
59.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
59.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
57.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
53.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
45.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
43.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
42.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
35.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
33.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
33.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
32.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
31.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
31.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
31.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
30.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
30.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
29.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
28.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
28.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
27.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
27.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
25.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
25.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
25.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
25.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
24.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
24.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
24.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
24.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
24.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
23.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
23.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
23.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
23.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
23.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
22.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
22.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
22.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
22.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
22.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
22.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
22.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
22.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
21.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
21.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
20.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
20.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
20.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
20.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
20.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
19.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
19.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
19.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
19.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
19.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
18.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
18.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
18.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
18.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
17.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
17.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
17.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
17.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
17.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
17.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
17.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
16.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
16.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
16.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
15.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
15.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
15.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
15.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
15.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
14.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
14.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
14.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
13.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
13.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
13.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
13.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
12.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
12.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
12.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
12.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
12.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
12.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
11.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
11.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
11.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
11.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
11.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
11.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
11.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
11.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
10.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
10.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
10.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
10.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
9.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
9.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
9.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
9.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
9.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
9.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
9.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
8.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
8.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
7.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
7.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
7.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
7.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
7.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
6.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
6.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
5.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
5.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
5.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
5.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
4.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
3.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
2.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
KCNN4 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
49.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
157.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
114.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
101.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
98.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
94.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
94.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
94.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
94.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
92.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
88.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
86.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
85.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
75.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
72.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
68.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
64.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
62.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
59.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
58.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
58.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
56.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
56.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
47.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
41.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
32.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
29.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
27.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
21.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
3.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
KCNN4 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
38.1
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
115.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
106.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
86.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
76.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
70.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
68.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
67.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
67.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
65.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
62.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
56.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
54.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
44.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
27.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
27.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
26.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
26.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
25.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
25.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
23.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
21.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
20.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
19.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
18.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
18.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
18.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
17.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
17.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
17.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
17.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
17.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
16.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
16.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
15.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
14.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
13.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
13.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
13.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
12.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
10.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
10.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
10.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
10.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
9.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
9.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
9.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
8.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
7.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
7.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
5.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
3.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
2.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
2.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
