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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.
NOP58 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
65.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
139.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
136.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
126.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
121.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
118.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
107.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
105.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
104.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
103.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
100.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
99.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
98.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
96.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
96.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
96.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
96.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
95.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
94.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
93.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
93.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
93.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
91.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
91.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
91.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
88.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
88.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
87.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
85.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
84.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
84.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
84.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
83.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
82.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
82.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
82.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
82.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
81.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
81.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
81.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
80.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
80.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
80.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
80.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
79.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
79.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
76.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
76.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
75.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
75.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
75.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
74.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
74.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
73.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
72.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
72.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
71.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
71.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
71.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
71.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
71.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
70.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
70.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
70.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
70.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
70.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
70.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
69.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
69.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
69.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
68.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
68.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
68.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
66.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
66.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
66.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
66.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
66.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
66.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
65.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
65.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
65.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
65.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
64.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
63.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
63.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
62.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
62.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
62.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
62.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
61.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
59.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
59.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
59.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
58.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
58.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
58.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
57.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
57.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
56.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
56.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
56.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
56.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
55.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
54.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
53.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
53.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
53.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
52.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
52.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
51.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
51.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
50.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
50.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
49.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
48.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
47.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
47.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
46.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
46.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
43.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
42.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
36.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
29.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
29.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
NOP58 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
38.4
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
139.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
104.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
67.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
67.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
60.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
57.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
53.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
51.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
50.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
45.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
44.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
44.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
44.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
44.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
44.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
42.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
42.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
41.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
41.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
39.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
37.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
36.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
36.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
36.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
36.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
32.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
31.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
30.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
29.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
28.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
28.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
28.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
28.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
28.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
27.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
27.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
27.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
27.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
26.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
26.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
26.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
26.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
25.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
25.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
25.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
25.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
24.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
24.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
24.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
24.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
23.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
22.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
22.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
22.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
22.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
21.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
20.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
20.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
19.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
19.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
19.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
19.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
18.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
16.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
15.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
14.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.5
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.
NOP58 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
69.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
124.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
121.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
121.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
114.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
101.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
99.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
97.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
96.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
92.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
92.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
91.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
91.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
90.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
87.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
87.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
86.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
85.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
85.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
84.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
84.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
80.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
80.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
78.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
76.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
76.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
76.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
75.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
75.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
75.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
74.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
74.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
72.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
71.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
70.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
69.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
68.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
67.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
67.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
65.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
61.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
61.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
60.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
59.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
57.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
56.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
52.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
52.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
50.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
47.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.3
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.
NOP58 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
38.2
Number of samples
207
Samples
Sample
Description
TPM
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
91.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
81.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
69.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
68.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
57.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
56.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
53.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
52.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
44.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
38.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
36.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
35.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
32.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
32.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
30.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
29.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
28.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
25.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
24.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
24.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
23.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
22.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
21.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
21.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
21.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
17.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
16.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
16.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
15.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
14.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
13.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
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Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_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
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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
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
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
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_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
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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
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_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
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
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Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
