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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.
SPPL2A 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
30.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
122.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
75.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
62.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
60.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
58.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
57.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
55.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
45.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
42.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
42.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
42.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
40.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
39.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
38.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
38.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
37.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
37.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
35.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
35.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
33.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
33.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
31.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
31.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
31.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
30.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
30.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
30.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
30.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
29.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
29.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
29.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
28.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
25.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
25.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
24.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
23.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
22.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
20.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
17.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
16.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
SPPL2A 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
73.6
Number of samples
486
Samples
Sample
Description
TPM
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
279.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
169.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
148.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
147.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
143.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
133.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
131.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
131.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
130.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
127.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
127.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
126.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
124.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
123.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
122.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
119.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
117.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
117.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
117.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
115.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
114.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
114.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
113.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
113.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
110.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
110.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
110.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
110.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
110.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
110.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
109.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
109.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
108.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
107.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
107.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
106.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
106.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
106.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
104.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
103.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
103.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
101.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
100.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
100.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
100.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
99.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
99.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
99.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
99.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
99.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
99.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
98.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
97.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
95.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
95.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
95.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
95.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
94.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
94.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
93.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
92.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
92.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
92.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
92.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
91.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
91.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
91.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
91.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
91.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
90.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
89.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
89.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
89.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
89.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
89.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
88.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
88.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
88.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
87.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
87.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
87.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
87.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
86.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
85.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
85.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
85.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
85.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
85.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
85.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
85.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
84.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
84.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
84.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
83.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
83.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
83.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
83.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
83.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
83.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
82.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
82.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
82.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
81.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
81.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
81.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
80.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
80.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
80.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
80.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
80.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
80.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
80.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
80.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
79.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
79.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
78.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
78.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
78.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
78.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
78.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
77.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
77.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
77.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
76.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
76.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
76.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
76.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
76.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
75.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
75.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
75.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
75.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
75.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
75.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
75.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
74.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
74.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
74.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
74.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
74.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
74.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
73.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
72.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
72.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
72.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
72.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
72.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
72.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
72.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
71.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
71.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
70.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
70.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
69.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
69.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
68.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
68.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
67.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
67.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
66.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
66.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
66.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
64.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
64.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
63.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
63.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
62.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
62.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
62.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
62.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
61.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
60.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
60.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
57.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
56.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
55.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
55.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
54.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
53.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
52.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
51.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
45.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
42.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
SPPL2A 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
29.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
92.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
60.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
40.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
39.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
38.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
37.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
33.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
33.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
31.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
30.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
30.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
29.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
28.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
28.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
27.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
26.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
24.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
12.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
11.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SPPL2A 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
66.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
128.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
123.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
115.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
115.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
112.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
109.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
106.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
104.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
103.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
102.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
97.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
96.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
92.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
91.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
90.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
90.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
88.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
87.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
86.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
86.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
86.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
85.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
85.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
85.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
83.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
82.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
82.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
81.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
80.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
80.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
79.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
78.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
78.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
78.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
77.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
76.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
76.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
75.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
75.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
74.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
73.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
72.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
72.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
72.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
71.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
70.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
69.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
68.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
68.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
67.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
67.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
67.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
66.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
65.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
63.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
62.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
59.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
54.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
3.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
1.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
1.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-2.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-2.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-2.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.4
b2400046-1d25-429d-a821-6040a6
Tumor
-3.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
