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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.
NOMO2 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
92.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
344.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
251.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
202.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
183.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
182.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
181.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
178.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
178.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
172.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
166.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
163.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
159.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
157.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
155.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
152.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
150.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
149.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
149.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
148.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
147.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
145.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
142.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
141.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
139.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
138.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
133.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
133.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
131.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
130.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
128.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
128.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
127.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
126.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
126.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
126.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
126.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
125.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
124.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
124.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
123.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
123.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
123.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
122.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
122.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
121.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
121.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
120.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
120.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
119.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
118.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
118.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
118.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
117.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
117.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
116.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
116.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
115.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
113.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
113.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
113.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
112.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
110.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
110.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
110.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
110.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
109.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
108.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
108.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
107.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
107.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
106.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
106.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
105.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
105.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
104.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
103.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
101.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
100.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
99.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
99.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
99.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
99.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
99.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
98.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
98.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
97.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
96.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
96.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
96.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
96.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
95.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
94.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
94.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
94.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
94.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
94.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
93.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
93.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
92.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
91.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
91.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
90.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
90.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
90.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
90.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
90.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
90.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
88.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
88.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
87.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
87.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
86.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
86.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
86.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
86.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
85.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
85.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
85.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
84.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
83.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
83.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
83.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
82.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
81.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
81.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
81.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
80.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
80.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
80.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
80.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
79.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
79.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
79.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
78.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
78.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
77.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
76.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
76.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
76.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
76.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
73.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
73.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
72.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
72.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
71.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
71.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
71.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
71.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
71.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
70.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
69.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
69.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
68.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
67.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
67.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
66.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
66.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
66.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
65.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
65.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
64.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
64.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
64.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
62.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
61.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
61.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
59.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
59.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
58.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
57.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
56.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
54.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
53.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
52.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
51.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
49.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NOMO2 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
84.2
Number of samples
486
Samples
Sample
Description
TPM
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
230.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
195.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
169.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
169.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
169.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
169.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
164.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
156.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
156.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
156.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
156.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
151.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
143.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
142.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
141.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
139.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
139.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
139.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
137.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
137.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
136.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
135.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
135.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
135.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
135.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
134.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
134.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
133.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
132.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
130.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
130.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
130.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
129.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
129.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
128.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
128.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
127.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
127.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
127.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
125.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
125.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
124.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
124.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
123.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
122.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
122.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
122.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
121.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
121.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
119.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
119.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
119.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
118.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
118.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
118.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
117.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
117.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
116.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
116.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
116.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
116.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
116.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
115.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
115.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
115.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
114.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
114.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
112.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
111.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
111.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
111.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
111.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
110.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
110.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
109.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
109.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
109.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
108.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
108.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
107.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
107.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
107.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
106.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
106.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
106.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
105.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
105.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
104.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
104.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
104.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
103.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
103.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
103.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
102.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
102.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
102.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
101.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
101.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
101.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
101.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
100.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
100.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
100.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
100.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
100.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
99.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
99.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
99.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
99.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
99.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
99.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
98.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
98.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
98.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
98.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
97.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
97.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
97.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
95.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
95.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
95.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
95.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
94.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
94.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
94.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
94.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
93.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
93.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
93.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
92.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
91.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
91.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
90.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
90.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
90.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
89.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
89.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
89.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
88.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
87.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
87.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
86.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
86.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
86.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
86.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
86.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
86.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
85.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
85.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
85.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
85.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
84.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
84.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
84.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
84.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
84.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
84.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
84.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
83.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
83.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
83.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
83.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
83.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
83.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
82.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
82.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
81.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
80.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
80.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
80.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
79.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
79.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
79.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
78.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
78.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
77.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
76.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
76.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
76.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
75.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
75.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
75.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
75.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
74.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
74.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
74.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
74.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
73.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
73.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
73.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
72.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
72.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
71.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
71.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
70.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
70.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
70.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
70.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
69.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
68.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
68.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
68.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
67.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
67.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
67.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
66.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
66.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
65.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
64.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
64.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
62.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
62.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
60.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
59.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
58.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
53.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
49.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
38.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
NOMO2 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
90.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
177.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
172.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
168.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
164.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
157.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
150.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
146.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
145.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
138.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
137.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
131.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
128.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
125.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
125.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
119.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
119.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
118.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
116.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
116.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
114.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
106.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
105.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
103.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
103.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
101.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
100.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
99.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
98.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
97.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
95.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
95.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
93.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
93.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
92.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
92.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
91.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
91.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
89.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
88.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
87.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
86.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
86.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
85.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
84.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
84.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
84.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
82.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
77.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
73.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
72.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
70.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
67.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
66.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
66.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
58.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
55.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
54.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
47.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
45.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 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.
NOMO2 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
78.7
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
170.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
169.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
148.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
147.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
139.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
137.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
134.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
132.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
131.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
128.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
127.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
125.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
124.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
124.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
120.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
119.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
117.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
116.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
114.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
113.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
111.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
110.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
109.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
107.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
106.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
106.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
104.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
103.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
102.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
101.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
101.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
101.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
100.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
99.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
98.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
98.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
96.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
96.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
94.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
94.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
93.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
93.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
92.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
92.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
92.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
91.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
91.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
91.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
88.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
88.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
88.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
88.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
86.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
86.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
86.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
86.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
85.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
84.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
84.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
84.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
83.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
82.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
81.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
81.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
79.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
78.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
78.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
78.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
78.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
78.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
78.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
78.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
77.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
77.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
77.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
77.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
76.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
75.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
75.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
75.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
73.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
72.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
72.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
71.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
71.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
70.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
69.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
69.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
68.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
68.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
67.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
67.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
65.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
64.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
64.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
64.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
64.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
62.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
61.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
61.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
61.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
60.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
59.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
58.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
45.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.2
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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
