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.
RAD21 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
89.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
216.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
214.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
212.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
209.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
199.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
194.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
192.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
189.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
179.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
172.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
162.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
162.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
162.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
158.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
156.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
152.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
141.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
140.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
138.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
136.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
132.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
131.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
130.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
130.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
130.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
129.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
128.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
127.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
127.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
127.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
127.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
125.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
124.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
123.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
123.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
122.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
122.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
120.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
120.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
120.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
119.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
119.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
119.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
118.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
116.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
116.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
114.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
113.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
112.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
112.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
111.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
111.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
110.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
110.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
109.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
109.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
109.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
109.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
108.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
108.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
108.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
107.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
107.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
107.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
106.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
106.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
105.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
105.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
105.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
105.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
104.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
104.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
104.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
103.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
103.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
102.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
102.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
101.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
100.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
100.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
100.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
99.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
97.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
97.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
96.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
96.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
95.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
95.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
94.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
93.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
93.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
93.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
92.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
92.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
92.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
92.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
91.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
91.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
91.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
90.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
89.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
88.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
87.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
87.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
87.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
86.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
85.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
85.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
84.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
84.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
84.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
84.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
83.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
83.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
82.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
82.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
81.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
81.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
79.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
79.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
79.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
79.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
76.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
76.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
76.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
74.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
74.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
74.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
74.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
73.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
73.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
72.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
72.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
72.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
71.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
70.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
70.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
70.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
70.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
69.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
69.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
69.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
68.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
68.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
67.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
66.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
65.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
65.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
65.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
64.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
64.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
63.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
63.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
63.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
62.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
59.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
59.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
59.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
58.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
57.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
56.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
55.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
53.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
52.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
51.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
48.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
37.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
RAD21 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
108.3
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
241.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
224.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
218.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
212.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
210.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
207.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
205.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
204.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
204.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
204.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
203.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
199.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
198.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
194.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
193.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
188.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
187.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
185.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
185.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
184.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
184.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
183.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
182.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
181.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
180.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
178.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
178.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
174.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
174.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
173.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
173.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
172.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
171.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
171.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
170.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
170.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
167.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
166.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
166.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
164.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
163.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
162.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
161.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
161.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
161.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
161.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
160.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
160.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
159.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
159.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
155.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
153.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
153.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
152.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
151.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
150.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
150.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
150.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
148.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
147.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
147.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
147.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
146.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
145.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
144.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
143.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
143.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
143.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
143.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
143.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
142.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
142.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
142.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
142.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
142.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
141.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
141.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
141.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
140.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
139.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
139.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
138.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
138.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
138.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
137.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
136.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
136.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
136.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
135.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
135.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
135.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
134.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
133.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
132.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
132.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
132.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
132.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
131.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
131.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
131.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
131.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
131.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
131.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
131.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
131.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
130.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
130.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
130.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
129.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
128.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
128.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
128.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
128.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
127.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
127.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
127.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
127.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
127.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
126.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
126.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
126.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
126.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
126.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
125.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
125.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
125.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
125.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
124.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
123.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
123.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
123.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
122.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
121.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
121.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
121.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
121.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
120.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
120.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
120.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
119.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
119.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
119.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
119.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
118.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
118.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
118.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
118.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
117.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
117.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
117.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
117.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
117.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
117.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
117.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
117.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
116.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
116.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
116.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
116.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
116.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
115.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
115.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
115.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
115.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
115.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
114.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
114.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
114.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
113.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
113.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
113.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
113.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
113.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
112.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
112.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
112.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
111.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
111.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
110.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
110.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
110.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
109.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
109.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
109.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
109.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
109.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
108.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
108.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
108.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
108.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
107.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
107.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
107.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
107.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
107.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
107.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
107.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
107.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
107.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
107.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
107.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
107.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
106.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
106.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
106.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
105.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
105.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
105.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
105.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
105.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
104.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
103.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
103.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
103.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
103.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
103.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
102.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
102.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
102.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
102.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
102.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
102.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
102.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
102.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
102.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
102.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
101.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
101.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
101.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
100.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
100.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
100.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
100.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
100.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
99.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
99.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
99.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
99.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
98.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
98.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
98.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
98.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
98.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
98.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
98.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
98.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
97.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
97.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
97.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
96.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
96.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
96.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
96.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
96.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
96.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
96.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
96.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
96.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
95.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
95.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
95.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
95.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
94.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
94.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
94.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
93.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
93.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
93.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
93.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
93.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
93.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
92.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
92.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
92.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
92.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
92.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
91.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
91.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
91.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
91.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
91.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
90.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
90.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
90.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
90.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
90.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
90.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
90.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
90.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
89.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
89.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
89.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
89.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
89.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
88.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
88.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
88.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
88.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
88.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
88.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
88.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
87.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
87.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
87.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
87.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
87.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
87.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
87.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
86.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
86.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
85.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
85.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
85.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
85.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
85.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
85.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
85.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
85.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
84.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
83.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
83.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
83.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
82.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
82.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
81.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
81.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
80.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
80.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
80.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
80.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
80.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
80.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
79.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
79.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
79.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
77.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
77.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
76.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
76.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
75.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
75.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
75.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
75.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
74.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
74.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
74.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
73.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
72.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
72.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
70.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
69.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
69.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
69.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
68.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
68.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
67.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
66.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
65.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
65.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
62.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
61.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
59.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
57.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
56.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
54.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
53.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAD21 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
96.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
345.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
220.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
208.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
166.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
161.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
152.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
151.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
146.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
144.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
141.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
140.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
136.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
136.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
135.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
131.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
129.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
124.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
124.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
123.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
121.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
116.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
112.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
109.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
109.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
107.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
105.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
105.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
105.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
105.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
102.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
101.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
100.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
99.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
98.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
93.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
92.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
91.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
91.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
90.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
89.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
89.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
88.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
87.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
85.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
83.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
82.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
81.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
80.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
79.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
78.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
77.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
76.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
75.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
74.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
72.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
72.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
70.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
69.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
69.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
63.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
56.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
54.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
47.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
39.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAD21 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
97.2
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
252.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
237.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
220.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
198.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
197.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
196.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
181.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
179.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
170.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
168.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
167.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
163.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
163.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
162.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
152.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
147.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
142.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
141.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
141.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
140.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
139.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
139.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
137.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
137.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
136.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
136.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
135.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
135.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
134.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
132.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
131.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
128.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
128.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
127.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
126.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
125.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
125.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
125.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
123.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
123.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
122.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
122.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
121.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
121.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
120.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
119.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
119.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
118.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
117.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
116.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
115.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
115.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
113.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
112.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
112.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
112.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
111.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
111.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
110.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
108.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
108.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
107.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
107.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
107.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
107.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
106.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
106.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
106.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
106.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
106.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
105.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
105.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
105.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
104.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
104.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
102.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
100.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
99.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
98.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
98.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
97.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
97.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
96.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
95.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
95.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
95.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
94.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
94.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
93.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
93.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
93.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
92.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
92.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
92.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
92.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
92.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
90.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
90.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
89.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
89.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
88.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
88.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
88.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
86.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
86.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
85.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
85.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
84.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
83.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
83.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
83.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
82.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
82.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
81.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
81.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
80.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
80.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
80.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
80.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
79.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
79.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
79.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
79.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
79.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
78.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
78.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
77.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
77.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
77.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
76.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
76.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
75.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
74.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
74.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
69.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
69.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
68.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
66.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
62.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
61.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
60.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
60.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
59.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
58.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
57.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
55.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
51.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
48.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
