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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.
NARS1 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
71.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
212.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
157.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
154.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
153.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
142.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
139.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
139.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
132.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
130.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
128.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
124.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
117.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
114.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
112.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
111.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
110.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
109.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
108.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
106.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
106.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
106.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
103.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
103.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
103.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
102.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
100.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
99.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
99.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
99.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
97.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
97.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
95.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
93.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
93.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
93.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
92.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
92.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
92.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
92.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
90.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
90.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
90.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
89.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
88.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
88.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
87.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
87.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
87.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
86.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
86.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
86.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
85.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
85.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
85.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
85.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
85.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
84.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
84.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
83.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
83.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
83.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
83.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
82.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
82.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
80.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
80.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
79.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
79.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
79.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
76.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
76.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
75.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
75.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
75.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
75.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
75.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
75.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
74.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
73.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
73.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
72.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
71.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
71.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
70.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
70.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
69.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
69.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
69.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
69.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
69.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
69.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
68.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
67.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
67.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
67.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
67.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
67.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
66.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
66.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
66.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
66.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
65.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
65.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
65.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
65.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
65.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
64.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
64.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
63.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
63.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
63.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
63.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
63.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
63.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
62.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
61.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
60.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
59.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
59.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
58.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
57.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
57.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
54.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
54.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
54.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
54.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
53.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
51.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
48.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
47.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
46.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
45.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
44.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
40.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
32.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
32.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
NARS1 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
86.1
Number of samples
486
Samples
Sample
Description
TPM
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
229.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
213.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
197.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
191.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
188.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
180.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
164.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
163.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
160.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
160.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
151.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
146.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
142.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
142.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
140.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
139.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
138.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
137.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
137.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
136.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
136.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
135.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
133.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
133.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
132.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
132.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
132.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
131.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
131.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
131.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
130.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
130.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
128.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
128.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
128.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
127.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
127.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
127.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
126.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
126.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
125.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
123.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
122.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
122.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
122.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
122.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
122.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
121.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
121.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
121.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
120.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
120.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
120.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
119.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
118.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
118.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
118.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
117.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
117.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
116.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
116.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
116.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
116.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
116.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
115.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
115.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
115.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
115.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
114.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
114.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
114.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
114.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
114.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
113.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
113.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
113.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
112.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
112.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
112.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
112.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
112.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
112.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
112.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
111.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
111.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
111.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
110.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
110.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
110.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
110.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
109.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
109.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
109.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
108.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
108.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
108.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
107.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
107.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
107.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
107.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
106.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
106.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
106.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
105.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
105.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
105.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
105.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
105.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
104.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
104.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
104.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
104.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
103.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
103.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
103.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
103.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
102.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
101.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
101.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
100.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
99.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
99.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
99.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
99.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
99.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
99.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
99.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
99.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
99.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
98.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
98.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
97.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
97.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
96.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
96.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
96.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
96.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
96.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
96.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
95.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
95.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
94.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
94.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
94.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
94.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
93.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
93.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
93.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
93.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
93.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
93.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
93.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
92.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
92.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
92.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
92.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
92.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
92.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
91.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
91.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
91.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
91.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
91.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
90.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
90.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
90.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
89.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
89.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
89.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
89.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
88.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
88.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
88.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
87.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
87.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
87.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
87.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
86.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
86.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
86.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
86.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
85.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
85.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
85.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
85.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
85.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
84.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
84.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
84.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
84.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
83.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
83.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
83.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
83.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
83.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
83.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
83.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
82.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
82.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
82.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
82.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
82.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
82.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
82.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
82.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
81.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
81.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
81.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
81.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
81.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
81.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
80.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
80.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
80.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
79.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
79.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
79.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
79.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
78.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
78.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
77.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
77.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
77.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
76.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
76.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
76.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
75.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
75.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
75.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
74.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
74.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
73.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
73.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
72.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
71.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
71.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
71.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
68.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
68.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
67.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
67.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
67.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
67.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
65.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
63.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
63.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
62.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
62.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
61.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
60.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
60.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
59.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
59.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
56.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
55.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
53.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
51.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
47.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
17.3
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.
NARS1 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
65.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
148.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
139.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
130.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
122.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
115.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
113.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
113.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
112.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
100.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
98.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
93.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
86.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
83.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
82.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
81.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
81.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
81.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
79.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
77.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
75.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
74.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
73.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
71.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
69.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
67.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
67.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
66.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
61.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
61.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
58.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
58.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
58.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
53.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
51.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
44.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
41.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.7
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.
NARS1 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
72.5
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
146.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
145.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
141.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
137.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
123.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
123.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
122.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
120.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
118.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
113.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
113.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
111.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
110.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
109.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
109.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
108.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
107.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
105.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
104.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
104.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
101.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
99.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
97.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
97.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
96.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
95.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
94.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
90.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
90.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
90.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
90.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
90.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
90.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
89.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
89.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
89.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
89.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
88.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
88.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
88.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
88.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
87.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
87.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
86.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
84.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
84.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
84.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
83.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
83.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
82.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
81.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
80.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
79.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
79.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
79.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
78.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
77.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
75.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
75.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
75.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
74.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
73.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
72.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
72.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
70.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
70.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
69.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
68.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
66.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
65.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
65.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
65.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
63.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
63.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
63.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
62.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
61.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
59.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
58.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
58.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
57.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
57.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
57.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
56.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
53.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
52.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
44.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
38.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
