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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DNAJB6 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
73.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
137.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
130.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
127.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
124.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
122.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
121.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
119.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
118.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
116.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
116.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
112.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
111.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
109.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
109.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
108.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
106.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
105.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
104.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
104.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
104.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
103.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
102.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
100.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
99.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
99.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
99.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
98.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
97.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
97.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
95.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
95.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
94.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
94.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
93.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
93.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
93.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
93.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
93.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
92.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
91.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
91.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
91.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
87.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
87.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
87.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
86.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
86.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
82.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
81.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
81.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
81.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
81.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
80.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
80.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
80.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
79.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
79.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
79.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
79.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
79.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
79.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
78.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
78.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
78.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
78.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
76.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
75.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
74.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
74.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
74.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
73.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
72.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
72.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
72.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
72.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
71.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
71.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
70.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
69.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
69.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
69.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
69.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
68.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
68.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
68.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
68.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
67.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
67.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
67.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
66.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
64.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
64.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
63.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
63.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
63.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
63.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
63.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
62.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
62.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
62.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
62.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
62.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
61.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
60.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
60.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
59.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
59.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
58.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
56.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
56.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
55.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
55.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
52.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
51.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
49.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
47.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
45.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
43.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
DNAJB6 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
75.6
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
144.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
137.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
131.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
131.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
131.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
128.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
127.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
126.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
125.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
124.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
123.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
123.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
122.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
122.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
122.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
121.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
121.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
120.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
120.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
118.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
117.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
116.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
116.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
113.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
112.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
112.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
111.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
110.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
110.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
110.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
109.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
109.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
109.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
108.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
108.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
107.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
107.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
106.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
104.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
104.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
103.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
102.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
102.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
101.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
101.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
101.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
101.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
100.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
100.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
99.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
99.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
98.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
98.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
97.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
96.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
96.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
96.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
95.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
95.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
94.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
94.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
94.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
93.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
93.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
93.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
93.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
92.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
92.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
92.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
92.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
91.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
91.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
91.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
91.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
90.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
90.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
89.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
89.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
89.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
88.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
88.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
88.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
88.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
88.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
87.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
86.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
85.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
85.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
85.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
85.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
85.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
84.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
84.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
83.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
83.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
83.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
83.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
82.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
82.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
82.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
81.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
80.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
80.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
80.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
80.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
79.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
79.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
79.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
79.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
79.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
78.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
78.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
78.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
78.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
77.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
77.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
77.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
76.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
76.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
76.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
76.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
75.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
75.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
75.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
74.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
74.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
74.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
74.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
73.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
72.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
72.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
72.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
72.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
72.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
72.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
72.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
71.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
70.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
70.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
69.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
68.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
68.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
68.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
68.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
67.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
66.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
65.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
64.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
64.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
64.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
64.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
63.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
63.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
63.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
62.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
62.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
60.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
58.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
58.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
56.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
55.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
53.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
51.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
46.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.9
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.
DNAJB6 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
81.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
158.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
150.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
140.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
129.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
129.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
125.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
123.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
122.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
120.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
110.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
108.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
107.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
107.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
105.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
105.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
105.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
100.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
99.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
97.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
97.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
96.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
94.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
93.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
93.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
92.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
92.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
89.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
87.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
87.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
87.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
86.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
86.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
84.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
84.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
84.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
83.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
82.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
79.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
78.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
76.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
75.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
75.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
74.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
73.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
71.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
71.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
71.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
69.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
66.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
66.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
65.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
64.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
63.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
62.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
62.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
60.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
59.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
57.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
56.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
52.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.0
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.
DNAJB6 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
73.1
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
179.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
174.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
156.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
154.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
143.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
133.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
127.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
115.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
111.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
111.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
108.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
107.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
105.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
104.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
103.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
103.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
102.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
101.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
99.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
98.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
98.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
98.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
94.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
94.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
93.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
92.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
90.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
90.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
89.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
89.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
89.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
89.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
88.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
87.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
86.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
85.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
85.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
85.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
83.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
82.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
82.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
81.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
81.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
80.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
80.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
79.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
79.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
78.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
78.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
78.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
77.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
77.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
77.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
77.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
76.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
76.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
76.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
75.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
74.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
74.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
73.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
72.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
72.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
72.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
71.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
71.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
71.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
71.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
70.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
70.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
69.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
69.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
65.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
65.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
65.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
63.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
63.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
63.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
62.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
61.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
61.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
59.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
57.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
50.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
49.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
45.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_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
