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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.
SRP72 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
42.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
89.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
85.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
85.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
80.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
77.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
75.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
68.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
67.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
66.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
66.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
64.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
61.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
60.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
60.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
60.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
60.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
59.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
59.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
59.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
58.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
56.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
55.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
55.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
55.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
54.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
49.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
48.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
47.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
45.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
44.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
43.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
42.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
41.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
41.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
41.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
40.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
39.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
39.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
37.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
36.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
35.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
35.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
34.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
34.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
32.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
31.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
30.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
27.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
26.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
23.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
22.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
19.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
SRP72 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
79.8
Number of samples
486
Samples
Sample
Description
TPM
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
237.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
145.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
144.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
138.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
135.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
128.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
128.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
127.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
125.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
124.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
124.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
123.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
123.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
122.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
122.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
121.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
121.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
121.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
118.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
118.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
118.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
117.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
116.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
115.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
114.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
114.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
114.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
114.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
113.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
112.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
112.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
112.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
111.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
111.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
111.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
111.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
110.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
109.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
109.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
109.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
109.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
108.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
108.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
107.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
107.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
106.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
106.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
105.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
105.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
105.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
105.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
104.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
104.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
103.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
102.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
102.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
101.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
101.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
101.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
100.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
100.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
100.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
99.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
99.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
98.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
97.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
97.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
97.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
97.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
97.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
96.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
96.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
96.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
95.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
95.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
95.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
95.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
94.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
94.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
93.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
93.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
92.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
92.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
91.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
91.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
91.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
90.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
90.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
90.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
90.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
90.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
90.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
90.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
89.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
89.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
89.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
89.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
89.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
88.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
88.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
88.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
88.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
88.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
88.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
88.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
87.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
87.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
87.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
86.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
86.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
86.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
86.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
86.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
86.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
86.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
85.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
85.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
85.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
85.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
85.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
84.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
83.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
83.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
83.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
83.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
83.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
82.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
82.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
82.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
82.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
82.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
81.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
81.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
81.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
80.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
80.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
80.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
79.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
78.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
78.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
78.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
77.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
77.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
77.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
77.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
77.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
77.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
76.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
76.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
76.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
76.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
76.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
76.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
76.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
75.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
75.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
75.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
75.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
75.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
74.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
74.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
73.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
73.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
73.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
73.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
73.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
73.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
73.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
73.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
72.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
72.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
72.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
72.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
71.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
71.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
71.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
71.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
70.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
70.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
69.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
69.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
69.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
68.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
67.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
67.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
67.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
66.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
66.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
66.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
65.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
65.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
65.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
64.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
64.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
63.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
62.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
62.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
57.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
57.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
56.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
56.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
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.
SRP72 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
41.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
84.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
62.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
56.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
53.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
51.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
46.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
45.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
41.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
41.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
38.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
34.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
32.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRP72 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
70.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
132.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
126.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
116.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
112.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
109.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
108.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
107.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
102.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
102.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
100.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
98.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
97.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
94.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
93.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
93.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
93.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
93.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
90.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
90.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
90.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
90.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
89.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
89.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
88.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
88.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
88.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
85.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
85.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
84.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
84.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
84.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
84.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
83.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
83.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
82.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
81.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
81.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
81.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
81.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
80.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
79.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
79.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
78.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
78.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
76.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
76.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
75.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
75.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
75.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
74.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
73.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
73.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
72.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
71.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
71.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
71.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
70.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
70.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
70.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
70.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
69.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
69.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
68.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
68.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
67.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
67.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
67.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
64.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
64.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
62.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
62.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
62.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
59.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
51.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
48.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
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Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
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Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
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Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
