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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.
PLS3 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
47.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
208.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
145.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
123.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
114.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
96.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
96.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
95.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
88.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
88.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
87.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
84.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
77.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
76.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
76.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
75.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
74.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
71.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
70.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
69.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
67.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
67.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
61.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
60.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
59.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
58.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
58.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
58.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
57.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
57.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
57.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
56.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
56.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
55.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
55.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
55.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
53.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
53.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
52.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
51.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
50.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
50.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
48.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
47.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
46.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
45.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
45.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
43.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
43.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
40.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
34.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
32.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
30.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
26.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
21.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
21.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
21.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
PLS3 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
71.9
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
195.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
194.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
173.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
167.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
166.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
163.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
158.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
155.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
149.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
143.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
142.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
141.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
140.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
139.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
137.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
135.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
134.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
133.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
131.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
130.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
129.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
128.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
127.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
127.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
126.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
119.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
119.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
119.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
118.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
117.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
117.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
117.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
115.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
115.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
115.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
114.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
113.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
113.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
112.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
111.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
111.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
110.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
110.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
109.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
109.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
108.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
107.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
106.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
106.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
106.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
105.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
105.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
105.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
104.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
103.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
103.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
102.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
102.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
101.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
101.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
100.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
100.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
100.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
100.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
100.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
99.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
99.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
99.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
98.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
98.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
96.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
96.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
96.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
96.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
95.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
95.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
95.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
94.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
94.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
93.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
93.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
93.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
93.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
93.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
93.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
92.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
92.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
91.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
91.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
91.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
91.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
91.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
91.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
91.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
90.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
90.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
89.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
89.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
88.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
87.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
87.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
87.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
87.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
85.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
85.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
84.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
84.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
83.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
83.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
83.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
82.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
81.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
81.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
81.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
80.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
80.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
80.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
79.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
78.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
78.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
78.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
78.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
77.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
77.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
76.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
76.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
76.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
75.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
75.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
75.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
75.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
75.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
73.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
73.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
73.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
73.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
72.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
70.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
70.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
70.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
69.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
69.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
69.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
69.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
69.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
66.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
66.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
66.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
65.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
65.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
65.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
62.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
62.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
61.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
61.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
59.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
58.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
57.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
56.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
55.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
47.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
42.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
32.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
26.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
25.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
25.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
21.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
19.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
19.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
18.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
17.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
11.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
11.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
5.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
5.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
PLS3 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
50.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
128.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
109.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
101.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
89.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
88.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
83.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
83.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
68.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
67.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
64.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
64.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
64.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
63.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
61.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
59.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
58.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
58.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
57.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
56.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
51.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
44.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
43.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
42.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
36.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
34.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
25.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLS3 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
67.9
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
219.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
157.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
150.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
149.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
145.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
140.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
136.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
126.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
125.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
122.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
120.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
119.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
116.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
115.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
114.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
113.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
113.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
112.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
112.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
108.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
104.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
101.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
101.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
101.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
100.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
100.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
99.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
98.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
97.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
97.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
94.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
94.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
90.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
89.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
88.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
87.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
87.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
87.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
86.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
85.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
84.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
84.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
83.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
83.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
83.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
81.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
81.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
81.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
80.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
80.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
80.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
80.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
79.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
78.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
77.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
77.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
77.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
76.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
76.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
75.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
74.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
74.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
72.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
71.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
70.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
68.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
68.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
67.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
67.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
66.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
66.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
64.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
63.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
52.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
47.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
47.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
41.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
26.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
16.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
12.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
4.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
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.