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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.
MRPL53 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
85.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
197.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
155.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
152.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
151.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
148.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
142.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
139.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
135.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
135.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
134.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
133.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
129.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
129.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
127.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
127.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
126.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
125.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
125.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
124.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
123.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
122.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
121.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
121.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
120.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
120.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
119.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
119.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
118.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
117.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
116.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
115.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
114.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
114.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
114.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
114.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
112.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
111.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
111.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
111.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
110.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
110.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
109.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
107.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
106.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
105.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
104.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
103.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
102.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
102.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
101.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
101.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
100.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
100.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
100.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
99.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
99.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
98.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
97.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
97.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
96.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
96.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
96.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
96.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
96.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
95.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
95.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
95.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
95.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
94.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
94.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
93.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
93.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
93.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
93.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
92.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
92.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
92.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
91.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
91.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
91.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
90.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
90.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
90.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
89.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
89.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
89.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
88.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
88.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
87.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
87.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
87.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
87.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
86.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
86.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
86.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
86.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
85.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
85.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
85.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
85.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
84.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
84.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
84.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
84.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
84.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
84.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
83.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
83.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
83.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
83.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
82.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
81.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
81.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
81.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
80.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
80.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
80.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
80.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
80.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
79.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
79.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
79.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
78.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
78.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
78.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
78.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
77.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
77.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
77.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
77.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
76.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
76.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
76.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
76.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
75.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
75.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
74.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
74.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
73.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
73.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
72.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
72.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
72.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
72.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
71.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
71.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
70.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
69.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
69.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
69.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
69.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
68.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
68.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
68.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
67.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
67.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
66.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
66.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
66.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
65.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
65.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
65.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
64.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
62.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
62.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
61.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
61.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
61.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
59.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
57.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
56.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
56.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
53.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
53.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
53.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
50.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
49.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
46.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
27.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MRPL53 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
51.4
Number of samples
486
Samples
Sample
Description
TPM
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
113.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
110.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
95.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
93.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
88.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
86.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
86.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
80.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
80.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
79.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
79.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
79.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
79.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
78.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
76.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
74.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
74.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
73.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
73.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
73.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
72.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
71.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
69.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
69.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
68.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
67.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
67.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
66.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
66.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
63.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
61.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
61.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
61.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
60.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
60.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
59.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
59.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
58.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
57.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
56.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
56.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
55.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
55.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
54.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
52.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
51.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
48.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
46.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
45.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
44.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
42.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
42.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
38.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
37.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.0
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.
MRPL53 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
81.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
156.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
150.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
150.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
131.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
130.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
127.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
119.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
118.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
112.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
111.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
104.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
103.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
100.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
100.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
98.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
97.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
94.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
93.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
93.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
92.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
88.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
88.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
87.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
86.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
85.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
85.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
84.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
84.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
83.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
82.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
82.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
80.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
77.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
77.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
77.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
77.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
76.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
75.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
75.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
74.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
73.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
73.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
72.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
70.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
70.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
69.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
69.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
69.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
68.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
66.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
66.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
65.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
64.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
63.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
60.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
MRPL53 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
41.0
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
64.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
62.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
52.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
51.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
47.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
46.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
38.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
21.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
20.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.6
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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
1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-2.0
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
