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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.
GRK2 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
67.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
141.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
128.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
126.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
124.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
122.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
119.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
118.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
117.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
115.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
114.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
111.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
109.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
108.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
108.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
107.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
105.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
105.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
103.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
102.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
102.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
99.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
98.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
98.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
98.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
97.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
96.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
95.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
95.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
93.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
93.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
93.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
93.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
92.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
91.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
91.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
90.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
88.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
88.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
87.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
86.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
86.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
86.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
85.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
84.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
84.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
83.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
83.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
83.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
83.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
82.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
82.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
82.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
81.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
81.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
80.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
80.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
80.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
77.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
76.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
76.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
75.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
75.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
75.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
74.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
74.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
73.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
72.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
72.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
70.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
68.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
68.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
68.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
67.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
66.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
65.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
65.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
64.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
64.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
64.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
64.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
64.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
63.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
63.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
63.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
63.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
63.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
63.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
62.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
62.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
62.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
61.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
61.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
61.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
61.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
59.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
59.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
58.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
57.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
56.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
55.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
55.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
55.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
53.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
52.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
51.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
51.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
50.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
50.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
50.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
48.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
47.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
42.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
42.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GRK2 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
60.8
Number of samples
486
Samples
Sample
Description
TPM
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
148.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
134.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
118.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
110.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
108.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
105.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
102.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
102.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
99.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
97.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
94.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
93.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
89.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
88.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
88.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
88.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
87.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
87.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
86.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
84.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
84.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
84.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
82.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
81.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
81.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
81.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
80.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
80.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
79.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
79.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
79.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
79.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
78.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
78.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
77.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
77.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
77.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
76.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
76.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
76.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
76.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
74.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
74.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
74.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
73.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
73.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
72.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
72.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
71.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
71.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
70.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
69.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
69.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
68.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
68.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
67.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
66.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
65.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
64.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
63.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
63.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
62.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
61.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
60.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
60.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
60.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
60.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
59.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
58.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
58.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
56.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
55.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
54.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
54.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
48.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
47.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
45.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
42.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
40.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
GRK2 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
64.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
138.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
121.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
115.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
115.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
111.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
104.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
101.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
100.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
98.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
90.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
90.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
87.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
86.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
85.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
83.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
77.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
77.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
76.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
76.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
73.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
73.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
72.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
72.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
71.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
70.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
70.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
66.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
65.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
64.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
59.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
59.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
58.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
57.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
54.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
51.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
51.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
50.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
48.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
47.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
41.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
32.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
GRK2 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
54.2
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
101.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
94.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
88.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
84.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
83.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
80.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
79.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
75.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
73.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
73.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
71.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
68.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
68.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
67.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
66.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
64.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
63.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
62.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
60.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
56.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
55.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
52.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
52.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
49.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
37.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
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Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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
