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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.
IGF2R 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
13.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
28.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
26.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
21.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
21.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
20.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
20.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
19.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
18.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
18.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
18.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
12.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
9.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
9.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
8.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
8.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
8.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
7.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
5.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
5.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
4.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 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.
IGF2R 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
36.2
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
85.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
63.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
60.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
60.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
49.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
48.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
47.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
45.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
45.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
44.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
43.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
41.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
41.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
41.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
39.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
37.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
36.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
36.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
34.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
32.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
32.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
32.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
31.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
31.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
30.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
30.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
30.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
30.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
29.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
29.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
28.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
28.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
28.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
27.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
27.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
27.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
26.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
26.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
26.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
26.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
26.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
26.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
25.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
25.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
24.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
23.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
23.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
22.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
22.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
22.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
21.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
20.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
20.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
20.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
20.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
19.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
19.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
18.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
18.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
16.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
15.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
14.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
13.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGF2R 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
13.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
18.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
17.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
14.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
14.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
12.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
10.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
9.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
9.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
8.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
4.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGF2R 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
35.3
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
62.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
57.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
38.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
35.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
32.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
31.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
27.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
25.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
24.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
24.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
23.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
22.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
22.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
17.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
16.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
15.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
11.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
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Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
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Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
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Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
