We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
STAU1 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
87.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
244.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
194.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
183.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
174.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
173.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
169.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
162.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
160.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
159.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
159.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
157.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
156.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
154.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
153.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
153.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
153.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
151.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
151.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
150.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
150.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
149.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
147.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
146.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
145.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
144.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
143.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
139.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
139.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
138.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
137.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
136.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
135.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
134.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
131.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
131.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
131.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
131.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
130.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
130.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
129.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
128.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
127.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
126.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
126.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
126.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
126.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
124.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
123.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
121.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
120.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
119.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
116.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
116.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
113.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
113.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
113.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
113.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
113.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
112.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
112.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
111.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
111.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
110.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
108.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
108.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
106.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
105.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
104.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
103.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
103.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
102.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
101.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
101.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
101.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
100.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
99.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
99.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
98.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
98.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
97.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
95.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
95.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
93.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
93.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
91.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
90.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
90.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
90.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
89.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
89.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
89.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
87.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
87.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
86.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
86.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
85.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
85.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
84.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
84.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
83.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
83.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
82.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
82.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
82.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
82.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
81.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
80.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
80.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
79.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
79.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
77.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
75.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
74.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
73.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
72.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
72.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
71.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
71.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
71.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
70.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
70.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
69.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
68.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
67.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
67.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
65.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
64.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
64.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
64.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
63.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
61.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
61.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
60.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
60.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
60.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
59.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
58.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
55.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
54.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
54.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
54.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
53.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
51.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
50.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
46.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
43.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
40.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
38.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
36.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
STAU1 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
100.1
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
296.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
270.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
231.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
226.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
226.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
211.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
210.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
209.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
190.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
187.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
185.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
185.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
183.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
183.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
178.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
177.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
172.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
170.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
169.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
169.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
168.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
167.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
167.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
165.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
164.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
163.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
160.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
160.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
158.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
157.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
157.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
155.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
155.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
155.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
155.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
154.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
152.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
149.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
148.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
148.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
147.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
146.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
145.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
145.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
144.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
143.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
143.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
142.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
142.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
141.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
141.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
141.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
141.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
140.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
140.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
140.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
139.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
138.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
138.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
138.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
138.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
137.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
137.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
137.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
137.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
135.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
134.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
134.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
134.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
134.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
133.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
133.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
133.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
133.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
132.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
132.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
132.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
131.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
131.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
131.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
130.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
129.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
129.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
128.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
128.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
128.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
128.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
127.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
126.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
126.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
126.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
125.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
125.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
125.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
124.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
124.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
123.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
122.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
121.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
121.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
121.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
120.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
120.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
120.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
120.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
119.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
119.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
118.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
118.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
118.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
118.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
118.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
117.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
116.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
116.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
116.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
116.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
116.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
115.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
115.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
115.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
115.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
114.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
114.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
114.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
113.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
113.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
113.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
113.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
113.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
113.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
112.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
112.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
112.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
112.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
112.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
112.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
112.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
112.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
112.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
112.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
111.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
111.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
111.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
111.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
110.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
110.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
110.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
110.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
109.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
109.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
109.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
109.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
109.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
109.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
108.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
108.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
108.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
108.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
107.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
107.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
107.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
107.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
107.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
107.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
106.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
106.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
106.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
106.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
105.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
105.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
104.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
104.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
104.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
104.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
104.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
104.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
103.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
103.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
102.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
102.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
102.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
101.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
101.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
101.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
101.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
100.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
100.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
99.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
99.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
99.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
99.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
98.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
98.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
98.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
97.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
97.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
97.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
97.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
96.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
96.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
96.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
95.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
95.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
95.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
95.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
94.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
94.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
94.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
94.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
94.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
94.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
94.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
94.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
93.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
93.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
93.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
93.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
93.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
92.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
92.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
92.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
92.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
91.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
90.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
90.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
90.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
90.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
90.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
90.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
90.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
89.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
89.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
89.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
89.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
89.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
89.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
89.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
89.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
88.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
88.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
88.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
87.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
87.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
87.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
87.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
86.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
86.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
86.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
85.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
85.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
85.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
85.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
85.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
85.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
85.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
84.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
84.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
84.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
83.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
83.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
83.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
82.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
82.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
82.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
82.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
81.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
81.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
80.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
79.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
78.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
77.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
77.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
77.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
77.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
77.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
77.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
77.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
77.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
77.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
76.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
75.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
75.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
75.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
74.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
73.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
73.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
72.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
72.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
71.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
71.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
70.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
70.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
69.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
69.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
68.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
68.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
67.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
63.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
63.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.4
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.
STAU1 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
102.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
229.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
219.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
189.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
185.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
183.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
181.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
179.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
178.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
161.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
151.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
150.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
148.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
141.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
139.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
133.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
132.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
131.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
130.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
128.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
127.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
125.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
123.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
122.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
121.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
120.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
119.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
119.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
116.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
116.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
114.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
113.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
113.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
111.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
110.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
107.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
105.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
104.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
104.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
102.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
99.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
95.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
92.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
92.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
90.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
89.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
88.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
88.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
88.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
87.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
84.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
81.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
80.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
79.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
78.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
77.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
74.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
72.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
68.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
68.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
66.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
60.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
55.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
54.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
STAU1 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
101.8
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
216.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
201.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
182.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
175.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
172.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
168.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
168.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
168.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
167.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
163.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
159.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
157.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
157.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
151.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
151.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
149.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
149.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
148.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
148.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
148.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
147.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
144.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
142.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
141.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
141.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
140.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
140.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
139.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
138.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
138.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
135.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
134.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
134.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
133.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
132.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
130.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
130.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
130.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
130.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
130.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
130.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
130.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
128.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
128.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
125.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
124.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
123.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
123.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
123.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
121.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
120.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
120.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
120.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
119.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
119.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
119.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
117.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
117.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
115.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
115.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
115.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
114.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
114.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
113.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
112.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
112.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
112.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
112.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
110.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
109.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
109.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
109.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
108.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
108.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
106.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
105.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
105.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
105.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
104.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
104.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
102.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
102.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
102.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
102.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
102.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
101.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
101.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
100.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
100.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
99.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
99.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
98.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
98.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
98.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
98.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
98.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
97.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
97.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
96.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
96.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
96.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
94.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
94.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
94.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
94.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
93.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
92.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
92.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
91.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
91.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
91.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
90.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
90.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
90.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
90.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
90.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
88.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
87.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
87.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
87.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
87.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
86.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
86.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
85.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
85.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
84.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
84.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
82.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
81.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
81.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
81.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
80.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
80.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
79.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
79.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
78.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
78.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
78.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
76.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
76.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
76.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
73.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
73.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
72.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
69.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
67.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
66.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
65.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
65.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
62.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
61.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
60.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
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
