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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.
MRPS15 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
84.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
194.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
169.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
168.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
147.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
143.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
142.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
141.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
140.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
140.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
138.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
131.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
129.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
125.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
125.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
123.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
123.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
123.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
123.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
120.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
120.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
120.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
120.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
119.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
119.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
118.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
118.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
118.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
117.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
117.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
117.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
117.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
116.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
116.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
116.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
116.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
114.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
114.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
114.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
113.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
113.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
112.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
112.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
112.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
111.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
111.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
110.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
110.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
109.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
109.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
108.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
108.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
108.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
108.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
108.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
107.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
107.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
107.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
107.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
107.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
104.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
104.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
102.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
101.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
100.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
100.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
99.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
99.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
99.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
98.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
98.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
97.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
97.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
96.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
96.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
95.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
94.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
93.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
91.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
90.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
90.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
89.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
89.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
89.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
89.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
89.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
89.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
88.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
88.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
88.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
88.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
88.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
88.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
87.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
87.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
86.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
85.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
85.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
85.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
85.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
84.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
84.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
84.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
83.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
83.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
83.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
82.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
82.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
82.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
82.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
82.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
81.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
81.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
81.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
81.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
81.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
81.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
81.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
81.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
80.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
80.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
79.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
79.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
79.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
77.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
77.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
77.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
77.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
76.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
76.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
76.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
75.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
74.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
74.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
74.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
73.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
73.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
72.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
71.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
71.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
70.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
70.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
70.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
70.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
70.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
69.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
68.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
67.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
66.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
66.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
66.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
64.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
64.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
63.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
63.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
62.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
62.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
61.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
61.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
61.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
60.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
59.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
58.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
58.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
56.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
56.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
55.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
55.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
54.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
53.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
50.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
49.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
MRPS15 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
61.0
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
283.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
186.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
130.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
124.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
111.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
106.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
98.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
97.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
97.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
97.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
96.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
94.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
94.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
91.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
91.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
91.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
90.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
90.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
90.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
90.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
89.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
89.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
89.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
88.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
87.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
87.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
86.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
86.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
86.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
86.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
84.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
84.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
84.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
84.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
82.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
82.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
81.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
81.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
81.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
81.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
80.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
80.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
80.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
78.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
78.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
77.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
77.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
77.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
77.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
76.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
76.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
75.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
75.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
73.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
71.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
71.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
71.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
70.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
70.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
69.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
69.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
68.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
68.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
68.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
65.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
64.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
64.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
63.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
62.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
59.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
59.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
58.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
58.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
57.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
56.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
54.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
51.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
49.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
44.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
37.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
26.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
MRPS15 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
81.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
176.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
150.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
146.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
142.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
134.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
130.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
125.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
113.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
113.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
111.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
111.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
111.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
111.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
108.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
107.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
105.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
102.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
102.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
101.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
99.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
98.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
98.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
98.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
98.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
96.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
95.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
95.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
94.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
92.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
92.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
92.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
91.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
90.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
88.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
86.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
86.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
85.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
84.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
82.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
81.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
79.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
78.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
77.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
77.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
73.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
73.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
69.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
66.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
65.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
59.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
58.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
58.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
54.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
48.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
48.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MRPS15 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
48.0
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
148.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
95.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
87.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
85.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
85.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
82.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
80.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
74.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
70.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
69.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
69.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
68.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
64.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
63.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
60.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
58.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
57.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
53.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
51.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
50.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
47.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
46.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
41.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
40.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.2
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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
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
