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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.
GSPT1 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
82.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
210.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
193.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
167.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
166.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
164.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
141.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
136.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
136.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
132.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
132.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
131.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
129.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
128.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
128.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
128.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
128.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
128.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
127.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
124.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
122.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
120.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
120.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
118.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
117.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
117.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
117.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
116.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
116.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
114.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
113.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
112.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
112.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
112.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
111.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
111.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
110.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
109.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
108.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
107.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
107.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
107.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
107.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
107.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
106.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
106.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
105.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
105.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
104.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
104.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
103.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
102.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
102.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
101.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
101.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
101.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
101.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
100.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
100.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
100.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
99.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
99.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
97.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
97.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
96.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
96.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
96.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
95.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
94.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
94.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
94.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
93.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
93.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
93.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
93.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
92.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
91.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
90.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
90.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
89.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
89.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
89.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
88.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
88.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
88.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
88.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
88.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
88.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
87.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
87.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
85.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
85.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
84.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
83.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
83.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
83.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
83.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
83.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
82.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
82.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
82.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
79.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
78.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
78.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
78.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
77.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
77.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
76.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
76.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
75.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
75.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
75.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
74.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
74.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
74.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
74.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
73.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
73.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
72.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
72.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
72.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
71.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
71.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
71.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
71.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
70.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
70.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
69.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
69.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
69.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
69.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
68.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
66.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
66.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
66.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
65.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
64.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
62.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
61.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
61.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
61.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
60.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
60.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
59.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
59.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
59.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
58.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
57.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
56.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
52.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
51.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
51.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
50.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
48.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
48.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
48.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
48.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
47.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
44.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
37.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
35.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
GSPT1 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
138.5
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
309.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
258.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
251.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
247.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
239.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
231.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
229.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
225.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
224.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
224.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
224.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
223.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
219.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
219.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
215.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
215.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
214.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
213.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
213.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
212.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
212.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
212.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
207.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
207.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
206.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
206.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
204.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
203.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
202.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
201.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
199.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
198.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
197.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
196.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
195.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
194.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
193.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
193.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
189.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
188.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
188.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
187.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
185.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
183.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
183.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
182.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
182.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
182.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
182.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
182.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
181.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
181.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
181.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
181.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
180.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
180.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
180.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
180.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
179.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
178.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
177.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
177.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
177.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
176.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
176.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
175.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
175.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
174.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
174.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
174.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
173.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
173.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
171.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
171.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
170.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
170.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
170.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
170.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
170.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
169.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
169.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
169.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
169.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
168.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
168.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
166.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
166.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
166.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
166.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
165.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
165.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
165.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
165.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
164.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
163.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
163.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
163.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
163.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
162.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
162.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
161.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
161.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
161.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
161.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
161.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
161.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
161.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
160.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
160.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
160.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
159.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
159.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
159.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
158.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
158.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
157.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
157.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
157.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
156.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
156.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
156.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
156.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
156.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
155.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
155.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
154.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
154.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
154.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
153.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
153.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
153.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
153.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
152.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
152.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
152.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
152.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
152.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
151.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
151.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
151.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
151.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
150.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
150.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
149.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
149.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
149.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
149.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
149.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
149.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
148.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
148.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
148.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
148.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
148.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
148.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
148.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
148.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
148.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
147.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
147.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
147.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
147.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
147.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
147.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
147.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
147.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
147.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
147.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
146.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
146.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
146.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
146.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
146.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
146.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
145.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
145.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
145.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
145.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
145.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
145.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
145.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
144.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
144.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
144.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
144.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
144.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
143.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
143.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
143.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
142.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
142.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
142.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
142.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
142.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
142.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
141.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
141.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
141.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
141.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
141.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
141.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
140.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
140.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
140.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
140.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
139.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
139.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
139.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
139.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
139.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
139.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
139.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
139.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
139.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
139.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
138.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
138.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
138.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
138.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
138.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
138.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
138.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
138.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
138.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
138.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
137.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
137.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
137.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
137.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
137.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
136.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
136.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
136.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
136.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
136.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
136.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
136.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
135.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
135.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
135.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
135.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
135.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
135.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
135.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
134.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
134.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
134.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
134.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
133.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
133.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
132.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
132.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
132.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
132.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
132.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
131.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
131.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
131.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
131.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
130.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
130.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
130.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
130.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
130.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
129.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
129.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
129.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
129.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
129.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
129.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
129.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
129.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
129.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
129.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
128.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
128.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
128.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
128.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
128.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
128.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
128.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
128.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
128.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
128.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
127.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
127.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
127.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
127.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
127.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
127.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
126.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
126.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
126.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
126.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
126.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
126.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
126.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
126.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
125.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
125.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
125.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
125.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
125.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
125.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
125.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
125.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
125.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
125.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
124.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
124.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
124.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
124.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
123.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
123.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
123.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
123.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
123.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
123.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
122.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
122.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
122.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
122.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
121.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
121.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
121.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
121.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
121.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
120.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
120.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
120.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
119.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
119.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
119.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
119.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
119.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
119.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
119.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
118.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
118.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
117.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
117.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
117.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
117.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
116.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
116.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
116.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
116.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
116.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
116.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
116.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
116.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
115.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
115.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
115.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
115.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
115.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
115.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
114.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
114.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
114.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
114.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
114.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
114.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
113.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
113.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
113.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
113.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
112.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
112.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
112.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
112.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
112.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
112.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
111.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
111.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
111.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
111.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
111.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
111.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
110.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
110.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
110.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
110.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
110.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
109.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
109.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
109.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
109.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
109.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
109.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
108.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
108.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
108.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
107.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
107.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
107.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
107.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
106.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
106.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
106.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
106.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
106.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
106.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
106.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
105.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
105.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
105.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
105.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
104.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
104.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
104.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
104.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
103.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
102.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
101.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
101.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
100.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
100.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
100.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
100.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
99.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
99.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
99.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
98.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
97.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
97.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
97.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
96.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
96.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
95.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
94.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
93.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
93.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
92.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
92.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
91.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
91.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
89.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
88.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
88.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
88.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
87.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
86.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
82.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
81.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
81.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
79.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
74.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
66.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.3
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.
GSPT1 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
85.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
159.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
156.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
154.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
151.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
150.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
142.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
140.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
136.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
127.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
125.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
124.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
121.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
119.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
118.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
117.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
117.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
115.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
115.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
113.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
112.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
108.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
105.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
105.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
104.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
100.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
99.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
96.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
93.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
89.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
88.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
88.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
88.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
86.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
86.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
84.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
83.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
82.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
82.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
81.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
81.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
79.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
75.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
75.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
75.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
74.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
70.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
70.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
66.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
65.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
64.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
56.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
54.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
47.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
GSPT1 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
134.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
240.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
231.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
229.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
226.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
223.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
219.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
214.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
208.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
208.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
207.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
206.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
204.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
203.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
200.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
200.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
198.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
197.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
195.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
194.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
188.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
186.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
186.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
186.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
185.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
184.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
182.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
180.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
178.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
177.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
176.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
175.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
175.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
172.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
172.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
171.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
171.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
170.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
170.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
170.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
169.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
167.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
167.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
166.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
164.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
161.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
158.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
158.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
156.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
156.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
155.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
155.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
154.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
154.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
153.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
153.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
152.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
152.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
152.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
151.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
150.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
149.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
149.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
148.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
148.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
147.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
147.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
146.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
146.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
146.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
146.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
146.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
145.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
145.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
144.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
144.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
144.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
143.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
143.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
142.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
140.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
140.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
140.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
138.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
136.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
136.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
134.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
133.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
133.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
133.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
132.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
132.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
132.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
132.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
131.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
131.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
129.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
129.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
129.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
128.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
128.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
128.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
128.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
128.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
127.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
127.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
126.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
126.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
126.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
125.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
125.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
125.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
125.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
124.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
124.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
124.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
122.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
122.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
122.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
122.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
122.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
121.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
121.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
121.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
121.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
121.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
120.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
120.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
120.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
120.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
120.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
119.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
119.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
119.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
118.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
118.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
118.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
118.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
117.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
117.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
117.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
117.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
116.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
116.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
116.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
116.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
116.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
115.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
115.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
115.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
113.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
113.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
112.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
112.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
112.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
111.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
111.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
111.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
110.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
110.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
109.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
109.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
108.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
107.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
105.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
105.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
105.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
104.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
103.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
102.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
102.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
102.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
101.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
100.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
100.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
99.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
99.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
98.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
97.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
96.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
96.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
94.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
92.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
92.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
91.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
91.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
91.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
90.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
86.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
84.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
81.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
81.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
79.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
77.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
77.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
76.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
74.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
73.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
58.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
58.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
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Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
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Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
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
