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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.
NUFIP2 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
15.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
70.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
32.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
30.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
25.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
24.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
23.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
22.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
22.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
17.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
16.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
16.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
15.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
15.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
14.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
12.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
11.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
10.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
9.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
9.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
8.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
7.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
4.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
NUFIP2 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
91.9
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
244.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
223.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
200.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
199.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
195.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
180.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
178.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
164.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
163.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
163.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
160.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
151.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
151.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
147.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
145.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
144.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
142.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
140.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
140.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
140.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
139.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
139.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
138.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
138.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
138.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
137.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
137.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
136.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
136.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
134.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
131.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
131.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
130.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
130.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
130.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
129.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
128.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
127.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
125.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
125.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
124.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
124.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
123.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
123.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
123.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
123.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
123.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
122.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
122.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
121.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
120.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
120.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
120.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
120.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
119.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
119.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
119.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
118.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
118.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
118.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
117.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
117.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
116.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
116.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
115.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
115.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
114.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
114.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
113.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
113.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
112.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
112.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
112.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
112.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
111.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
111.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
111.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
111.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
111.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
110.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
110.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
110.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
110.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
110.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
110.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
109.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
109.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
109.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
108.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
108.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
108.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
108.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
108.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
108.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
108.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
108.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
108.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
108.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
108.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
107.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
107.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
106.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
106.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
106.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
105.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
105.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
105.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
105.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
105.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
105.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
104.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
104.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
104.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
103.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
103.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
103.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
103.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
103.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
102.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
102.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
102.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
101.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
101.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
100.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
100.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
100.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
100.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
100.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
99.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
99.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
99.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
99.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
99.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
99.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
99.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
99.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
99.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
98.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
98.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
98.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
97.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
97.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
97.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
97.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
96.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
96.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
96.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
96.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
96.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
96.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
96.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
95.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
95.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
95.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
95.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
95.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
95.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
95.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
94.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
94.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
94.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
93.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
93.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
93.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
93.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
93.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
93.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
93.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
92.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
92.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
92.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
92.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
92.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
92.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
91.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
91.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
91.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
91.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
91.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
91.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
90.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
90.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
90.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
90.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
90.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
90.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
90.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
90.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
90.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
90.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
90.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
90.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
89.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
89.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
89.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
88.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
88.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
88.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
88.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
88.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
88.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
88.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
88.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
88.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
88.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
88.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
87.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
87.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
87.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
87.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
87.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
87.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
87.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
87.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
87.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
86.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
86.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
86.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
86.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
86.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
86.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
85.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
85.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
85.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
85.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
85.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
85.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
85.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
84.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
84.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
84.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
84.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
84.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
83.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
83.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
83.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
83.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
82.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
82.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
82.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
82.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
82.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
82.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
81.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
81.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
81.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
81.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
81.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
81.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
81.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
81.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
80.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
80.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
80.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
80.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
80.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
80.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
80.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
80.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
80.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
80.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
80.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
79.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
79.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
79.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
79.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
78.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
78.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
77.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
77.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
76.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
76.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
76.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
76.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
75.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
75.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
75.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
74.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
74.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
74.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
73.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
73.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
73.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
73.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
72.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
70.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
70.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
70.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
70.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
69.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
69.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
69.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
68.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
68.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
67.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
67.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
66.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
65.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
64.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
64.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
64.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
63.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
63.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
63.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
60.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
59.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
52.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
51.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
9.2
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.
NUFIP2 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
14.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
23.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
21.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
19.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
17.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
16.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
16.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
12.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
11.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
5.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.3
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.
NUFIP2 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
91.2
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
305.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
181.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
179.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
179.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
171.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
162.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
150.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
146.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
143.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
140.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
140.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
140.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
139.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
134.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
133.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
133.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
132.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
132.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
131.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
127.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
126.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
124.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
123.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
120.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
120.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
120.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
119.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
117.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
117.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
117.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
116.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
115.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
115.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
115.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
114.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
112.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
112.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
112.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
112.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
111.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
109.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
109.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
109.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
109.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
108.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
107.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
107.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
106.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
105.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
105.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
104.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
104.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
104.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
104.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
103.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
103.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
103.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
103.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
102.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
101.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
101.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
99.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
98.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
98.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
98.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
98.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
97.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
97.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
96.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
96.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
96.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
95.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
95.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
95.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
94.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
93.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
93.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
93.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
93.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
93.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
93.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
92.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
92.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
92.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
91.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
90.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
90.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
89.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
89.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
89.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
89.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
88.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
88.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
87.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
86.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
86.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
85.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
84.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
83.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
81.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
80.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
80.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
80.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
79.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
79.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
79.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
78.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
78.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
78.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
78.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
77.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
76.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
76.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
76.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
75.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
74.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
74.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
74.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
73.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
72.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
71.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
71.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
69.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
68.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
68.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
67.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
66.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
56.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
55.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
53.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
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.
The Human Protein Atlas project is funded
