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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.
MRPS18B 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
72.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
166.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
161.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
146.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
144.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
128.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
125.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
123.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
123.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
119.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
111.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
110.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
106.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
106.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
104.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
104.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
103.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
102.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
101.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
101.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
100.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
99.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
99.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
98.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
96.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
95.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
95.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
95.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
95.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
94.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
94.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
93.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
93.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
92.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
92.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
91.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
90.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
90.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
89.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
89.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
89.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
89.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
88.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
87.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
87.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
86.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
86.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
86.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
85.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
84.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
83.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
83.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
82.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
82.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
82.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
82.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
81.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
81.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
80.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
80.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
80.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
80.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
79.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
79.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
79.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
78.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
78.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
78.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
78.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
77.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
77.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
77.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
77.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
77.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
77.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
76.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
75.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
74.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
74.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
73.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
72.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
72.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
71.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
70.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
70.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
70.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
70.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
70.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
70.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
70.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
70.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
69.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
69.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
69.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
69.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
68.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
67.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
67.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
67.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
67.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
66.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
66.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
66.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
64.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
64.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
63.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
63.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
63.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
63.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
62.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
61.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
59.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
59.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
58.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
58.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
56.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
55.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
54.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
54.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
54.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
54.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
53.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
53.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
51.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
50.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
50.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
50.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
49.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
49.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
48.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
47.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
47.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
MRPS18B 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
40.6
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
100.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
90.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
75.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
65.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
64.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
64.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
58.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
57.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
56.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
55.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
54.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
53.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
53.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
49.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
47.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
47.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
45.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
45.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
44.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
43.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
42.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
37.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
36.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
36.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
36.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
35.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
35.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
35.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
33.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
33.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
33.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
32.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
32.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
32.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
31.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
29.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
29.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
28.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
28.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
28.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
27.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
27.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
27.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
26.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
24.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
24.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
24.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
20.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
20.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
20.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
15.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
15.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
11.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
MRPS18B 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
68.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
159.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
131.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
118.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
115.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
113.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
107.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
107.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
102.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
99.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
88.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
86.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
84.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
84.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
83.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
83.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
82.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
81.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
78.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
75.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
74.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
74.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
74.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
73.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
72.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
69.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
69.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
69.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
67.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
65.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
65.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
65.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
64.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
63.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
61.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
61.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
61.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
61.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
60.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
60.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
59.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
56.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
54.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
52.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
52.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
49.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
46.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
39.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MRPS18B 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
35.4
Number of samples
207
Samples
Sample
Description
TPM
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
85.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
59.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
40.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
37.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
33.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
31.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
29.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
28.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
27.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
27.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
27.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
25.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
23.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
20.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
20.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
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
