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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.
PUF60 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
52.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
192.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
166.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
164.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
140.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
139.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
119.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
116.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
109.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
105.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
103.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
103.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
102.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
100.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
98.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
97.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
96.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
95.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
95.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
93.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
92.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
90.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
89.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
88.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
88.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
85.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
81.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
81.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
81.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
79.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
78.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
76.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
75.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
74.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
73.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
73.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
70.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
69.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
68.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
68.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
67.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
67.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
66.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
66.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
66.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
66.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
66.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
66.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
64.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
64.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
64.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
63.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
62.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
62.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
62.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
61.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
60.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
60.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
59.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
59.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
58.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
57.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
56.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
54.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
53.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
53.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
51.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
50.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
48.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
48.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
48.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
48.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
45.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
43.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
39.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
36.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
35.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
33.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
32.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
31.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
31.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
15.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
PUF60 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
12.3
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
37.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
28.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
26.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
26.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
26.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
25.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
25.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
24.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
24.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
24.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
23.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
23.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
22.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
22.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
22.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
21.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
21.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
21.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
20.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
20.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
20.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
20.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
19.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
19.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
19.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
19.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
19.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
19.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
18.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
18.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
18.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
18.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
18.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
18.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
18.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
18.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
18.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
18.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
18.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
18.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
18.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
18.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
18.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
17.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
17.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
17.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
17.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
17.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
17.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
17.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
16.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
16.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
16.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
16.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
16.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
16.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
16.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
16.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
16.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
16.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
16.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
16.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
16.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
16.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
16.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
16.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
16.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
16.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
15.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
15.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
15.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
15.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
15.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
15.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
15.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
15.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
15.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
15.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
15.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
15.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
15.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
15.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
15.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
15.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
15.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
15.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
15.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
15.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
15.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
15.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
14.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
14.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
14.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
14.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
14.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
14.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
14.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
14.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
14.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
14.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
14.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
14.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
14.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
14.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
14.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
14.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
14.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
14.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
13.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
13.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
13.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
13.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
13.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
13.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
13.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
13.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
13.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
13.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
13.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
13.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
13.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
13.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
13.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
13.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
13.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
13.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
13.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
13.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
13.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
13.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
13.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
13.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
13.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
13.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
12.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
12.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
12.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
12.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
12.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
12.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
12.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
12.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
12.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
12.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
12.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
12.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
12.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
12.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
12.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
12.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
12.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
12.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
12.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
12.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
12.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
12.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
12.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
12.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
12.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
12.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
12.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
12.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
12.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
12.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
12.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
12.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
12.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
12.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
12.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
12.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
12.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
12.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
12.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
11.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
11.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
11.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
11.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
11.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
11.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
11.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
11.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
11.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
11.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
11.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
11.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
11.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
11.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
11.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
11.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
11.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
11.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
11.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
10.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
10.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
10.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
10.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
10.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
10.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
10.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
10.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
10.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
10.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
10.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
10.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
10.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
10.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
10.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
10.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
10.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
10.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
10.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
10.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
10.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
10.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
10.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
10.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
10.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
10.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
10.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
10.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
10.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
10.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
10.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
10.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
10.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
10.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
10.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
10.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
10.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
9.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
9.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
9.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
9.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
9.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
9.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
9.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
9.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
9.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
9.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
9.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
9.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
9.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
9.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
9.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
9.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
9.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
9.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
9.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
9.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
9.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
9.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
8.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
8.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
8.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
8.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
8.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
8.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
8.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
8.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
8.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
8.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
8.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
8.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
8.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
8.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
8.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
8.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
8.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
8.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
8.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
8.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
8.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
8.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
8.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
8.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
8.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
8.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
8.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
8.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
8.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
8.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
8.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
8.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
8.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
7.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
7.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
7.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
7.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
7.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
7.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
7.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
7.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
7.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
7.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
7.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
7.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
7.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
7.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
7.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
7.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
7.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
7.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
7.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
7.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
7.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
7.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
7.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
7.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
7.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
7.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
7.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
7.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
7.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
7.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
7.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
7.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
7.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
7.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
7.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
7.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
7.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
7.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
7.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
7.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
7.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
6.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
6.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
6.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
6.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
6.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
6.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
6.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
6.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
6.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
6.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
6.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
6.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
6.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
6.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
6.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
6.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
6.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
6.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
6.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
6.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
6.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
6.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
6.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
6.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
5.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
5.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
5.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
5.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
5.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
5.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
5.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
5.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
5.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
5.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
5.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
5.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
5.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
5.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
5.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
5.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
5.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
5.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
4.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
4.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
4.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
4.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
4.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
4.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
4.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
4.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
4.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
3.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
3.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
3.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
3.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
3.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
3.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
3.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
3.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
3.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
3.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
3.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
3.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
3.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
2.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
2.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
2.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
2.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PUF60 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
48.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
192.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
119.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
102.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
97.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
96.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
92.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
78.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
77.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
75.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
70.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
69.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
64.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
63.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
62.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
61.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
60.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
59.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
59.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
58.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
50.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
47.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
47.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
45.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
44.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
37.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
18.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
15.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.8
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.
PUF60 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
12.9
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
26.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
25.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
24.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
24.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
23.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
22.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
22.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
21.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
21.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
20.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
20.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
19.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
18.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
18.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
18.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
18.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
17.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
17.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
17.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
17.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
17.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
16.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
16.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
16.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
16.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
16.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
15.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
15.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
15.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
15.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
15.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
15.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
15.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
14.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
14.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
14.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
14.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
14.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
14.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
14.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
14.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
14.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
13.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
13.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
13.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
13.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
13.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
13.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
13.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
13.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
12.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
12.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
12.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
12.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
12.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
12.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
12.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
12.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
12.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
12.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
12.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
11.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
11.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
11.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
11.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
11.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
11.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
11.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
11.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
10.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
10.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
10.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
10.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
10.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
10.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
10.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
9.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
9.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
9.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
9.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
9.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
9.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
9.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
9.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
9.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
9.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
9.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
9.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
9.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
9.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
9.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
9.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
9.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
8.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
8.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
8.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
8.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
8.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
8.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
8.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
8.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
8.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
8.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
8.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
8.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
8.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
8.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
8.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
8.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
7.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
7.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
7.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
7.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
7.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
7.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
7.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
7.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
7.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
7.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
7.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
7.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
6.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
6.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
6.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
6.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
6.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
6.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
5.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
5.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
5.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
5.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
5.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
5.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
5.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
5.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
5.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
4.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
4.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
3.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
3.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
3.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
3.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
2.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
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Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
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Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.