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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.
LRP4 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
11.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
124.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
106.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
101.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
69.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
60.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
28.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
24.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
22.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
21.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
16.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
16.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
13.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
13.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
8.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
7.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
7.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
6.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
6.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
6.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
6.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
6.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
6.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
6.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
5.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
5.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
5.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
5.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
5.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
5.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
4.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
4.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
4.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
4.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
4.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
4.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
4.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
3.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
3.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
3.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
3.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
3.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
3.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
3.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
3.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
0.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
0.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
0.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
LRP4 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
19.7
Number of samples
486
Samples
Sample
Description
TPM
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
230.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
151.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
148.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
142.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
137.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
129.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
122.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
115.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
108.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
102.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
102.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
100.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
97.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
92.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
90.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
89.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
81.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
72.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
58.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
56.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
51.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
37.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
32.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
31.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
29.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
27.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
27.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
25.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
25.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
24.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
24.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
24.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
24.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
24.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
23.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
23.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
23.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
23.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
23.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
23.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
22.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
22.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
21.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
21.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
21.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
20.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
20.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
20.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
20.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
20.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
19.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
19.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
19.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
18.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
18.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
18.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
18.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
18.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
18.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
18.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
18.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
18.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
18.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
18.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
17.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
17.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
17.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
17.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
17.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
17.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
16.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
16.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
16.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
16.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
16.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
16.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
15.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
15.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
15.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
15.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
15.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
15.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
15.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
15.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
15.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
15.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
14.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
14.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
14.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
14.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
14.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
14.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
14.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
14.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
14.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
14.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
14.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
14.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
14.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
14.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
13.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
13.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
13.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
13.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
13.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
13.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
13.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
13.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
13.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
13.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
13.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
13.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
13.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
13.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
13.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
13.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
13.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
12.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
12.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
12.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
12.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
12.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
12.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
12.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
12.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
12.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
12.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
11.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
11.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
11.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
11.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
11.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
11.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
11.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
11.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
11.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
11.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
11.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
10.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
10.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
10.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
10.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
10.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
10.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
10.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
10.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
10.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
10.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
10.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
10.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
10.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
10.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
9.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
9.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
9.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
9.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
9.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
9.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
9.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
9.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
9.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
9.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
8.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
8.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
8.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
8.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
8.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
8.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
8.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
8.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
8.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
8.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
8.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
8.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
8.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
8.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
8.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
8.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
8.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
8.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
8.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
8.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
8.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
8.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
7.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
7.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
7.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
7.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
7.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
7.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
7.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
7.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
7.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
7.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
7.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
7.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
7.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
7.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
7.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
7.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
6.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
6.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
6.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
6.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
6.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
6.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
6.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
6.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
6.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
6.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
6.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
6.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
6.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
6.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
6.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
6.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
6.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
6.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
6.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
6.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
6.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
6.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
5.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
5.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
5.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
5.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
5.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
5.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
5.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
5.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
5.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
5.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
5.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
5.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
5.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
5.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
5.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
5.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
5.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
5.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
4.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
4.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
4.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
4.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
4.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
4.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
4.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
4.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
4.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
4.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
4.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
4.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
4.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
4.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
4.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
4.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
4.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
4.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
4.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
4.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
4.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
4.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
4.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
4.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
4.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
3.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
3.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
3.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
3.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
3.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
3.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
3.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
3.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
3.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
3.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
3.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
3.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
3.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
3.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
3.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
3.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
3.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
3.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
3.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
3.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
3.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
3.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
2.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
2.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
2.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
2.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
2.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
2.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
2.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
2.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
2.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
2.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
2.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
2.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
2.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
2.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
2.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
0.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRP4 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
10.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
75.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
69.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
50.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
21.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
16.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
11.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
11.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
10.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
9.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
8.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
8.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
8.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
7.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
6.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
5.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
5.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
4.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
4.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
4.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
4.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
3.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
3.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
3.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
3.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRP4 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
16.9
Number of samples
207
Samples
Sample
Description
TPM
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
204.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
120.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
89.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
36.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
31.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
30.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
27.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
23.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
22.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
21.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
21.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
20.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
20.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
20.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
20.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
19.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
19.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
19.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
19.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
19.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
19.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
18.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
16.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
16.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
16.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
15.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
15.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
15.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
15.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
15.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
14.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
14.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
13.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
13.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
13.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
13.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
12.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
12.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
12.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
12.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
12.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
12.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
12.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
11.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
11.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
11.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
11.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
11.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
11.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
10.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
10.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
10.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
10.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
10.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
10.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
9.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
9.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
9.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
9.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
9.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
9.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
9.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
9.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
9.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
9.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
9.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
9.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
8.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
8.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
8.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
8.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
8.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
8.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
8.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
8.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
8.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
8.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
8.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
8.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
8.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
8.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
7.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
7.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
7.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
7.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
7.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
7.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
7.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
7.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
7.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
6.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
6.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
6.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
6.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
6.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
6.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
6.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
5.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
5.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
5.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
5.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
5.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
5.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
5.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
5.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
5.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
5.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
5.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
4.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
4.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
4.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
4.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
4.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
4.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
4.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
4.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
4.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
4.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
4.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
4.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
3.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
3.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
3.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
3.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
3.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
3.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
3.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
3.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
2.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
2.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
2.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
1.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
2.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-2.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-2.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-2.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-2.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
