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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.
MKNK2 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
71.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
170.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
145.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
137.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
137.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
137.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
134.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
131.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
125.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
124.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
118.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
116.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
115.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
114.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
114.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
112.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
112.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
111.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
111.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
110.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
109.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
109.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
109.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
109.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
108.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
106.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
106.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
106.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
104.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
103.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
102.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
102.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
102.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
100.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
99.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
99.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
99.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
98.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
97.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
96.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
96.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
95.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
95.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
95.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
94.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
94.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
94.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
93.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
92.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
92.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
92.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
91.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
90.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
89.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
88.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
88.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
87.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
87.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
87.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
86.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
86.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
85.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
85.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
83.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
83.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
83.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
83.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
83.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
82.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
82.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
81.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
80.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
80.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
80.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
79.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
78.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
77.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
77.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
77.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
76.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
75.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
75.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
74.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
74.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
74.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
74.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
73.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
73.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
73.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
72.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
71.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
71.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
70.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
69.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
69.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
69.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
69.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
68.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
68.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
68.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
68.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
67.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
67.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
67.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
66.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
66.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
65.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
65.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
64.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
64.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
63.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
63.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
61.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
61.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
59.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
59.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
58.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
58.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
58.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
58.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
57.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
57.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
56.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
56.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
55.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
54.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
54.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
54.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
53.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
52.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
51.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
48.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
46.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
46.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
46.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
43.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
42.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
39.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
36.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 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.
MKNK2 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
94.6
Number of samples
486
Samples
Sample
Description
TPM
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
225.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
207.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
206.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
184.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
177.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
167.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
165.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
163.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
162.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
161.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
159.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
158.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
155.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
154.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
152.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
151.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
151.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
150.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
150.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
149.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
149.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
149.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
146.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
145.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
145.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
144.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
143.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
142.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
142.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
142.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
139.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
138.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
137.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
137.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
136.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
134.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
133.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
132.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
131.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
131.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
131.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
130.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
130.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
129.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
129.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
128.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
126.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
125.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
125.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
125.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
125.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
125.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
124.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
124.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
124.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
123.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
123.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
123.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
123.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
123.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
123.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
122.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
121.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
121.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
121.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
121.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
120.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
120.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
120.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
120.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
119.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
119.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
119.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
118.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
117.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
117.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
117.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
116.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
116.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
116.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
116.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
116.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
116.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
116.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
116.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
116.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
115.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
115.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
115.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
115.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
114.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
114.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
114.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
114.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
114.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
114.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
114.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
113.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
113.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
113.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
113.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
113.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
112.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
112.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
112.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
112.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
112.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
112.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
111.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
111.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
111.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
111.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
111.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
111.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
111.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
111.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
111.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
111.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
111.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
110.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
110.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
110.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
110.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
110.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
109.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
109.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
109.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
109.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
109.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
108.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
108.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
108.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
107.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
107.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
107.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
107.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
106.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
106.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
106.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
106.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
106.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
106.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
105.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
104.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
104.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
104.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
104.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
104.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
103.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
103.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
103.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
103.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
103.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
103.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
102.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
102.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
102.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
102.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
102.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
102.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
102.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
102.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
102.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
101.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
101.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
101.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
101.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
100.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
100.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
100.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
100.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
99.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
99.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
99.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
99.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
98.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
98.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
98.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
98.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
98.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
98.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
97.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
97.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
97.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
97.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
97.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
97.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
96.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
96.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
96.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
96.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
95.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
95.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
95.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
95.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
95.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
95.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
95.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
95.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
95.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
95.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
95.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
94.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
94.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
94.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
94.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
94.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
93.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
93.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
93.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
92.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
92.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
92.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
92.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
92.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
92.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
91.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
91.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
91.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
90.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
90.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
90.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
90.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
90.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
89.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
89.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
89.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
88.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
88.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
88.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
88.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
87.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
87.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
87.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
87.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
87.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
87.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
87.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
87.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
86.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
86.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
86.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
86.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
86.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
86.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
86.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
85.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
85.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
84.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
84.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
84.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
84.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
83.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
83.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
83.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
82.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
81.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
81.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
81.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
80.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
80.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
80.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
79.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
79.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
79.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
79.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
79.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
78.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
78.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
78.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
78.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
78.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
77.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
77.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
76.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
75.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
74.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
74.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
74.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
73.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
73.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
72.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
72.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
71.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
71.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
71.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
70.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
69.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
69.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
67.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
67.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
67.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
67.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
64.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
63.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
61.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
61.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
60.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
59.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
59.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MKNK2 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
63.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
159.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
135.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
123.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
122.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
118.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
109.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
107.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
100.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
91.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
90.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
87.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
85.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
84.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
83.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
80.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
78.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
76.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
73.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
71.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
70.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
61.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
58.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
57.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
55.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
47.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
47.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
44.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
44.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
42.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 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.
MKNK2 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
84.4
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
168.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
152.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
150.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
146.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
145.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
145.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
138.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
131.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
130.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
128.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
126.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
125.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
125.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
122.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
119.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
119.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
119.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
118.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
117.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
116.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
116.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
116.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
116.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
114.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
114.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
113.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
112.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
111.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
110.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
110.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
109.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
107.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
107.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
107.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
105.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
105.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
103.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
102.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
102.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
102.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
101.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
101.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
101.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
101.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
100.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
100.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
100.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
99.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
98.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
98.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
97.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
96.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
96.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
96.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
95.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
94.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
94.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
94.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
94.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
94.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
93.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
93.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
93.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
92.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
92.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
92.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
92.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
92.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
91.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
90.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
89.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
89.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
88.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
87.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
87.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
86.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
86.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
86.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
85.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
84.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
84.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
84.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
83.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
83.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
82.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
81.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
79.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
79.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
78.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
77.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
76.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
76.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
76.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
75.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
75.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
73.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
73.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
72.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
72.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
72.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
71.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
71.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
69.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
69.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
69.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
69.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
68.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
68.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
65.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
65.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
65.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
60.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
60.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
58.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
54.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
45.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
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
