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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.
NPIPB4 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
14.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
140.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
95.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
80.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
32.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
20.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
20.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
20.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
19.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
19.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
16.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
15.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
14.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
12.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
12.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
12.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
11.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
11.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
11.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
10.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
10.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
10.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
10.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
9.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
9.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
8.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
8.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
6.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
6.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
5.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
5.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
5.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
4.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
4.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
3.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 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.
NPIPB4 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
91.1
Number of samples
486
Samples
Sample
Description
TPM
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
359.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
248.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
237.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
209.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
202.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
194.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
192.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
188.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
187.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
182.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
181.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
179.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
177.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
171.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
171.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
170.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
169.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
168.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
166.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
165.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
165.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
158.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
156.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
156.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
154.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
152.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
152.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
152.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
149.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
149.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
149.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
148.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
148.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
147.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
145.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
144.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
144.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
143.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
142.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
142.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
142.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
141.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
141.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
139.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
139.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
138.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
138.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
137.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
137.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
135.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
135.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
134.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
134.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
133.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
132.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
132.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
132.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
132.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
132.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
131.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
130.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
130.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
129.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
129.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
127.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
127.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
127.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
127.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
127.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
126.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
126.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
125.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
125.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
125.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
125.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
125.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
124.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
124.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
124.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
122.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
122.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
122.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
122.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
122.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
120.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
120.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
120.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
119.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
119.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
119.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
119.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
119.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
118.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
118.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
118.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
118.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
118.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
117.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
117.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
117.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
117.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
117.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
117.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
116.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
115.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
115.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
114.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
114.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
113.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
113.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
113.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
113.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
113.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
113.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
112.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
112.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
112.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
111.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
111.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
111.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
111.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
110.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
110.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
110.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
110.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
109.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
109.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
108.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
108.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
108.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
107.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
107.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
107.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
107.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
106.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
106.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
106.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
105.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
105.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
105.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
105.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
105.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
105.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
104.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
104.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
104.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
103.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
103.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
103.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
102.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
102.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
102.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
101.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
101.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
101.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
101.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
101.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
101.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
100.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
100.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
100.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
100.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
100.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
99.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
99.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
99.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
99.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
99.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
99.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
99.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
99.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
98.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
98.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
97.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
97.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
97.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
97.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
96.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
96.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
96.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
95.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
95.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
94.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
94.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
94.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
94.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
93.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
93.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
93.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
93.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
93.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
93.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
93.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
93.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
92.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
92.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
92.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
92.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
91.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
91.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
91.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
91.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
91.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
90.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
90.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
89.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
89.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
88.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
88.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
88.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
88.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
88.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
88.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
87.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
87.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
87.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
87.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
87.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
86.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
86.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
86.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
86.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
86.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
85.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
85.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
84.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
84.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
83.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
83.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
83.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
83.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
83.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
83.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
83.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
83.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
83.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
83.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
82.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
82.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
82.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
82.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
82.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
82.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
81.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
81.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
81.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
80.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
80.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
80.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
80.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
79.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
79.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
79.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
78.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
77.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
77.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
77.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
76.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
76.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
75.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
74.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
73.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
73.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
72.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
70.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
70.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
69.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
69.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
68.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
67.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
65.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
64.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
62.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
62.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
60.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
60.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
58.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
55.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
52.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
37.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
30.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
26.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
26.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
25.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
16.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NPIPB4 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
12.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
30.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
24.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
20.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
14.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
12.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
11.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
11.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
10.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
10.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
9.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
8.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
7.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
5.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
3.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NPIPB4 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
106.4
Number of samples
207
Samples
Sample
Description
TPM
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
371.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
336.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
293.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
221.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
202.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
196.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
187.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
180.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
176.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
175.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
174.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
172.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
167.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
167.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
165.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
163.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
161.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
159.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
158.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
155.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
152.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
150.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
150.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
149.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
148.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
147.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
145.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
145.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
144.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
144.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
143.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
143.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
140.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
139.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
139.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
137.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
137.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
136.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
135.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
135.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
135.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
135.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
133.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
133.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
132.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
130.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
130.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
129.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
129.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
128.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
127.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
127.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
127.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
126.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
126.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
125.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
125.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
125.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
125.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
124.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
121.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
121.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
120.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
118.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
118.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
117.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
117.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
117.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
116.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
116.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
115.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
115.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
115.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
115.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
115.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
114.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
114.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
113.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
113.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
112.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
111.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
111.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
110.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
109.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
108.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
107.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
107.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
107.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
106.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
106.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
106.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
105.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
104.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
103.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
103.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
103.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
102.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
102.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
102.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
101.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
101.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
100.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
99.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
98.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
98.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
97.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
97.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
97.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
96.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
95.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
95.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
95.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
95.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
94.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
94.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
93.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
93.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
92.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
91.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
90.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
90.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
90.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
89.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
88.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
87.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
87.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
86.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
85.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
85.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
85.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
84.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
84.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
83.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
83.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
82.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
82.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
82.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
80.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
79.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
79.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
79.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
78.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
77.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
77.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
74.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
73.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
73.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
73.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
68.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
60.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
54.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
23.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_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.
The Human Protein Atlas project is funded
