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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBP1 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
43.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
634.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
547.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
438.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
406.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
313.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
303.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
297.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
270.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
264.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
254.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
210.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
200.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
198.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
176.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
173.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
155.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
155.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
153.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
153.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
144.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
139.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
129.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
125.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
124.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
123.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
118.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
112.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
108.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
106.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
104.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
97.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
96.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
91.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
88.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
87.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
85.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
74.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
73.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
71.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
60.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
54.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
46.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
44.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
41.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
37.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
33.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
26.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
22.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
20.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
17.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
16.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
14.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
13.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
13.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
12.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
12.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
12.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
11.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
11.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
10.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
7.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
6.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
6.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
6.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
5.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
5.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
5.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
5.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
5.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
4.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
4.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
RBP1 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
24.6
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
569.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
376.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
350.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
350.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
286.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
284.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
279.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
257.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
220.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
188.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
145.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
137.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
133.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
132.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
123.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
119.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
116.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
115.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
113.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
104.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
101.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
100.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
97.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
91.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
89.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
87.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
84.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
76.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
75.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
74.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
68.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
65.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
62.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
59.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
47.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
45.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
33.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
32.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
28.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
26.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
26.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
25.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
25.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
25.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
24.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
24.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
23.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
23.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
22.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
21.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
20.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
20.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
20.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
19.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
19.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
19.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
19.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
18.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
18.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
18.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
18.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
17.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
17.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
17.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
17.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
17.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
17.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
16.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
16.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
16.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
16.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
16.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
16.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
15.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
15.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
15.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
15.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
15.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
15.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
15.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
15.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
15.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
15.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
15.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
15.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
14.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
14.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
14.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
14.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
14.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
14.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
14.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
14.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
14.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
14.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
14.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
14.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
13.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
13.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
13.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
13.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
13.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
13.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
13.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
13.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
13.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
13.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
13.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
13.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
13.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
12.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
12.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
12.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
12.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
12.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
12.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
12.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
12.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
12.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
12.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
12.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
12.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
12.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
12.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
12.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
12.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
12.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
12.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
11.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
11.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
11.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
11.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
11.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
11.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
11.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
11.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
11.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
11.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
11.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
11.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
11.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
11.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
11.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
11.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
11.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
11.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
11.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
10.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
10.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
10.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
10.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
10.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
10.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
10.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
10.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
10.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
10.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
10.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
10.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
10.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
9.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
9.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
9.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
9.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
9.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
9.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
9.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
9.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
9.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
9.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
9.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
9.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
9.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
9.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
9.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
9.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
9.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
9.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
9.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
9.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
9.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
9.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
8.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
8.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
8.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
8.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
8.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
8.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
8.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
8.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
8.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
8.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
8.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
8.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
8.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
8.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
8.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
8.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
8.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
8.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
8.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
8.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
8.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
8.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
8.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
8.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
8.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
8.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
8.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
8.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
8.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
8.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
8.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
8.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
8.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
7.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
7.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
7.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
7.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
7.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
7.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
7.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
7.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
7.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
7.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
7.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
7.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
7.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
7.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
7.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
7.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
7.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
7.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
7.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
7.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
7.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
7.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
7.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
7.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
7.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
6.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
6.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
6.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
6.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
6.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
6.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
6.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
6.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
6.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
6.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
6.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
6.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
6.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
6.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
6.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
6.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
6.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
6.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
6.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
6.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
6.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
6.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
6.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
6.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
6.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
6.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
6.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
6.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
5.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
5.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
5.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
5.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
5.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
5.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
5.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
5.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
5.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
5.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
5.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
5.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
5.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
5.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
5.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
5.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
5.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
5.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
5.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
5.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
5.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
5.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
5.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
5.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
5.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
5.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
5.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
5.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
5.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
5.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
5.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
5.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
5.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
5.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
5.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
5.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
4.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
4.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
4.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
4.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
4.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
4.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
4.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
4.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
4.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
4.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
4.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
4.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
4.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
4.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
4.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
4.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
4.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
4.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
4.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
4.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
4.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
4.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
4.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
4.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
4.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
3.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
3.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
3.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
3.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
3.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
3.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
3.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
3.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
3.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
3.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
3.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
3.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
3.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
3.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
3.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
3.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
3.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
3.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
3.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
3.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
2.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
2.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
2.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
2.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
2.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBP1 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
46.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
583.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
311.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
230.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
223.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
172.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
163.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
152.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
145.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
141.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
130.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
112.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
107.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
105.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
70.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
61.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
57.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
37.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
26.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
15.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
10.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
10.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
9.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
7.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
6.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
3.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
3.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 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.
RBP1 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
22.5
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
255.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
136.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
121.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
119.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
113.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
102.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
93.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
79.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
76.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
70.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
34.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
32.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
26.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
24.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
22.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
22.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
22.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
21.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
21.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
20.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
19.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
18.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
18.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
17.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
17.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
16.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
16.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
15.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
14.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
14.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
14.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
14.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
13.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
13.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
13.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
12.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
12.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
12.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
12.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
12.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
12.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
12.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
12.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
11.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
11.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
11.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
11.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
11.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
10.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
10.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
10.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
10.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
10.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
10.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
10.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
10.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
10.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
9.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
9.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
9.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
9.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
8.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
8.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
8.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
8.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
8.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
8.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
7.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
7.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
7.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
7.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
7.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
7.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
7.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
7.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
7.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
7.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
7.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
7.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
7.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
7.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
6.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
6.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
6.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
6.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
6.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
6.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
6.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
6.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
6.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
5.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
5.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
5.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
5.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
5.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
5.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
5.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
5.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
5.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
5.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
4.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
4.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
4.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
4.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
4.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
4.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
4.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
4.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
4.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
4.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
3.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
3.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
3.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
3.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
3.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
3.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
2.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
2.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
2.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
2.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
3.6
b2400046-1d25-429d-a821-6040a6
Tumor
3.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
2.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-2.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-2.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.