We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBCK1 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
68.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
212.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
190.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
189.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
160.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
153.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
146.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
145.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
145.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
144.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
143.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
140.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
138.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
132.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
131.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
131.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
130.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
130.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
124.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
124.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
123.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
122.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
120.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
119.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
118.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
118.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
117.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
116.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
115.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
113.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
112.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
108.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
103.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
100.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
98.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
98.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
98.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
98.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
98.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
95.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
95.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
92.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
92.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
92.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
92.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
92.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
91.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
90.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
90.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
87.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
85.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
85.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
85.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
84.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
84.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
84.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
84.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
80.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
79.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
79.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
78.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
77.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
77.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
77.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
76.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
76.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
76.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
75.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
75.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
75.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
74.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
74.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
74.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
74.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
74.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
73.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
73.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
72.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
72.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
72.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
71.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
71.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
70.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
70.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
69.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
69.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
68.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
68.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
66.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
64.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
64.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
64.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
64.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
63.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
63.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
62.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
59.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
58.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
58.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
57.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
56.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
54.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
54.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
53.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
53.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
53.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
52.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
51.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
50.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
46.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
46.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
45.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
45.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
44.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
43.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
41.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
40.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
36.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
35.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 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.
RBCK1 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
44.3
Number of samples
486
Samples
Sample
Description
TPM
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
135.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
121.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
120.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
114.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
109.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
97.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
91.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
89.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
89.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
86.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
85.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
82.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
82.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
82.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
81.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
81.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
80.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
79.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
79.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
77.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
76.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
75.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
74.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
73.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
73.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
72.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
72.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
70.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
67.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
65.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
63.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
63.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
62.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
62.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
58.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
58.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
58.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
57.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
57.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
56.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
56.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
53.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
52.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
50.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
50.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
50.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
48.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
47.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
46.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
44.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
44.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
43.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
41.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
39.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
37.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
34.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
33.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
33.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
33.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
32.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
31.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
29.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
28.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
28.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
27.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
27.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
27.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
24.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
24.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
24.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
23.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
23.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
23.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
21.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
21.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
21.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
21.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
20.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
20.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
20.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
20.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
20.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
19.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
18.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
18.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
18.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
17.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
15.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
13.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
13.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
12.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBCK1 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
70.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
281.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
169.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
167.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
155.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
140.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
131.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
130.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
125.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
123.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
121.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
112.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
112.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
108.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
106.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
104.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
99.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
97.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
95.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
94.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
94.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
88.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
87.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
84.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
81.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
79.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
79.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
78.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
78.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
77.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
72.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
69.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
67.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
62.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
58.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
54.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
52.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
51.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
49.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
49.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
29.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
RBCK1 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
41.9
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
111.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
111.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
106.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
103.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
93.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
90.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
81.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
80.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
77.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
71.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
67.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
67.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
65.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
53.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
52.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
41.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
36.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
32.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
29.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
29.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
28.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
27.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
26.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
24.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
23.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
23.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
23.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
22.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
22.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
22.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
20.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
19.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
19.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
19.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
18.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
16.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
16.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
16.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
15.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
14.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.