We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR2J 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
85.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
209.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
186.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
184.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
174.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
162.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
162.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
159.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
158.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
154.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
150.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
149.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
149.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
141.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
128.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
128.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
127.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
127.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
125.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
124.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
124.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
124.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
123.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
122.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
121.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
120.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
119.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
119.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
117.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
115.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
113.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
113.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
113.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
113.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
113.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
113.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
112.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
112.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
110.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
109.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
109.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
109.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
108.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
107.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
107.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
107.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
105.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
105.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
105.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
104.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
103.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
101.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
101.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
101.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
101.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
100.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
100.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
99.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
98.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
98.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
98.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
97.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
97.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
97.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
96.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
96.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
96.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
96.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
95.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
95.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
94.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
94.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
94.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
93.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
92.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
92.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
92.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
92.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
92.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
91.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
90.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
90.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
90.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
90.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
90.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
90.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
89.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
89.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
89.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
88.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
88.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
87.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
87.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
87.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
86.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
86.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
85.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
84.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
84.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
84.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
83.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
82.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
82.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
81.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
81.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
81.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
81.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
80.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
80.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
80.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
80.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
80.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
79.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
79.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
79.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
79.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
79.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
79.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
79.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
79.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
78.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
77.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
77.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
77.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
77.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
77.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
75.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
75.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
75.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
75.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
74.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
73.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
73.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
72.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
72.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
72.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
72.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
72.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
71.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
71.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
70.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
69.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
68.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
67.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
66.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
66.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
65.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
64.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
63.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
62.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
61.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
60.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
59.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
59.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
59.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
55.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
53.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
53.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
52.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
51.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.1
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.
POLR2J 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
46.8
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
83.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
82.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
76.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
72.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
70.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
68.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
68.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
68.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
68.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
67.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
66.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
64.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
63.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
62.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
58.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
57.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
55.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
53.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
50.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
49.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
49.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
48.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
47.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
47.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
46.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
45.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
42.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
41.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
39.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
38.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
37.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
37.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
34.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
32.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
31.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
29.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
27.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
23.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR2J 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
90.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
205.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
186.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
146.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
144.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
140.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
139.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
139.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
133.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
130.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
129.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
128.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
124.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
120.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
115.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
114.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
114.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
111.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
109.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
108.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
101.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
101.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
101.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
99.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
99.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
99.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
97.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
97.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
96.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
93.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
93.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
92.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
91.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
90.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
89.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
88.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
88.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
87.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
87.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
87.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
87.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
86.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
85.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
84.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
82.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
80.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
80.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
78.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
78.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
76.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
73.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
71.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
71.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
69.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
63.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
63.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
58.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
58.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
57.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
POLR2J 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
43.4
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
82.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
76.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
64.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
56.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
56.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
52.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
45.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
42.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
40.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
38.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
33.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
31.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
24.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
24.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
19.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
963fc8db-f412-4427-a198-23f660_D2
Normal
1.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-1.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-1.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-2.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_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.