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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.
LSP1 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
24.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
138.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
137.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
113.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
103.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
93.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
81.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
81.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
80.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
59.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
47.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
45.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
42.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
40.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
39.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
37.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
36.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
36.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
35.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
34.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
32.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
31.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
30.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
25.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
22.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
21.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
19.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
17.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
17.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
9.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
7.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
6.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
LSP1 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
31.2
Number of samples
486
Samples
Sample
Description
TPM
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
119.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
94.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
86.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
81.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
81.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
80.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
72.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
61.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
60.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
52.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
44.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
38.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
37.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
37.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
36.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
35.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
34.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
33.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
31.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
31.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
30.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
30.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
30.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
30.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
29.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
28.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
28.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
28.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
27.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
27.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
27.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
26.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
26.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
26.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
26.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
26.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
25.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
24.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
24.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
24.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
24.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
24.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
24.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
23.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
23.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
23.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
23.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
23.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
23.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
23.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
22.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
22.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
22.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
22.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
22.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
22.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
22.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
22.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
22.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
22.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
22.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
22.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
22.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
22.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
22.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
22.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
22.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
22.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
21.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
21.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
21.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
21.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
21.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
21.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
21.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
21.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
20.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
20.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
20.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
20.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
20.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
20.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
19.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
19.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
19.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
19.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
19.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
19.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
19.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
19.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
18.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
18.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
18.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
18.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
18.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
18.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
18.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
17.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
17.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
17.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
17.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
17.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
17.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
17.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
17.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
17.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
17.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
17.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
16.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
16.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
16.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
16.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
16.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
16.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
16.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
16.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
15.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
15.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
15.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
15.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
15.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
15.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
15.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
15.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
15.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
14.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
14.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
14.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
14.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
14.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
13.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
13.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
12.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
12.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
12.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
12.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
12.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
12.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
12.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
12.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
12.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
11.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
11.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
11.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
11.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
11.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
10.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
10.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
10.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
10.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
10.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
10.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
9.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
8.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
8.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
8.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
7.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
6.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.8
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.
LSP1 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
22.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
99.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
93.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
73.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
29.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
25.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
24.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
21.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
20.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
15.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
15.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
14.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
11.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
8.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
5.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 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.
LSP1 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
31.2
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
148.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
98.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
83.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
67.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
54.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
53.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
38.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
33.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
32.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
29.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
27.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
26.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
25.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
24.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
24.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
24.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
23.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
20.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
20.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
19.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
19.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
18.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
18.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
17.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
17.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
17.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
16.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
16.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
16.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
16.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
15.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
15.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
15.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
15.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
14.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
13.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
13.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
13.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
12.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
12.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
12.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
11.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
9.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
9.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
8.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
8.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
7.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
7.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
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
