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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR2I 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
79.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
190.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
169.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
147.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
147.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
142.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
135.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
132.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
124.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
122.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
120.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
119.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
119.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
118.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
117.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
117.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
116.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
115.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
114.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
113.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
112.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
112.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
111.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
111.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
111.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
109.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
109.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
108.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
106.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
106.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
105.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
104.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
103.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
102.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
101.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
100.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
99.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
98.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
98.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
98.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
97.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
97.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
96.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
95.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
95.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
95.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
95.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
94.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
94.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
94.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
94.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
93.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
93.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
93.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
92.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
92.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
91.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
91.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
91.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
91.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
90.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
90.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
89.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
89.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
89.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
88.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
88.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
86.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
86.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
86.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
85.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
85.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
85.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
85.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
84.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
84.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
84.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
84.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
83.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
83.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
83.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
83.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
83.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
83.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
83.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
83.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
82.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
82.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
82.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
82.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
82.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
82.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
81.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
80.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
80.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
80.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
80.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
80.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
79.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
79.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
79.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
79.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
77.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
77.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
77.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
77.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
76.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
76.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
76.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
75.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
75.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
75.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
75.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
75.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
75.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
74.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
74.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
72.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
71.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
70.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
70.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
70.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
68.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
68.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
67.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
67.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
67.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
65.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
65.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
65.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
65.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
63.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
63.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
61.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
61.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
61.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
60.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
60.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
58.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
58.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
54.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
POLR2I 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
49.6
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
359.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
108.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
101.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
93.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
91.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
81.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
81.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
75.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
75.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
74.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
71.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
69.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
69.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
68.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
68.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
66.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
66.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
65.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
62.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
61.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
56.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
56.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
54.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
52.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
51.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
51.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
50.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
49.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
49.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
49.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
47.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
45.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
45.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
45.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
42.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
41.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
41.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
39.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
37.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
32.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
31.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
30.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
29.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
POLR2I 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
80.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
284.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
160.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
138.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
133.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
132.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
127.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
112.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
110.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
108.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
105.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
103.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
103.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
100.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
100.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
99.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
99.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
96.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
96.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
93.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
91.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
88.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
85.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
84.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
82.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
82.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
81.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
80.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
79.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
78.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
76.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
75.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
74.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
74.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
73.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
70.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
70.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
69.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
69.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
69.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
69.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
68.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
66.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
65.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
63.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
60.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
60.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
53.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 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.
POLR2I 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
43.6
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
103.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
94.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
77.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
64.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
61.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
59.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
58.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
57.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
54.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
52.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
51.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
48.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
47.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
35.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
28.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
27.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
27.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
26.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
23.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
