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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.
YBX3 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
78.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
183.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
172.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
164.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
146.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
139.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
137.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
131.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
128.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
124.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
124.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
121.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
121.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
118.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
117.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
114.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
114.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
112.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
111.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
111.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
111.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
111.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
110.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
110.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
110.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
109.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
108.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
105.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
105.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
105.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
105.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
103.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
103.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
103.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
102.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
102.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
100.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
99.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
98.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
98.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
97.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
97.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
96.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
96.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
96.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
96.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
95.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
94.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
94.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
93.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
93.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
93.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
93.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
93.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
92.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
92.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
92.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
92.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
90.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
89.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
89.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
88.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
87.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
87.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
86.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
85.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
85.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
85.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
84.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
84.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
84.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
84.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
84.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
84.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
83.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
83.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
83.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
83.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
83.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
82.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
82.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
82.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
81.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
81.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
81.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
81.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
80.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
80.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
80.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
80.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
80.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
80.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
79.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
79.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
79.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
79.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
78.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
78.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
78.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
78.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
78.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
78.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
78.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
76.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
76.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
76.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
75.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
75.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
75.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
75.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
75.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
74.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
74.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
73.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
73.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
73.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
73.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
72.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
72.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
71.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
71.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
70.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
70.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
69.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
69.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
68.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
68.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
68.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
68.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
67.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
67.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
66.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
65.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
64.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
64.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
63.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
63.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
62.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
62.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
59.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
59.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
59.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
57.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
57.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
57.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
56.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
55.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
55.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
54.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
54.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
52.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
50.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
47.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
42.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
42.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
29.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 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.
YBX3 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
98.7
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
448.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
237.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
227.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
223.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
208.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
205.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
193.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
193.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
190.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
190.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
189.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
184.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
181.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
172.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
168.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
166.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
165.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
164.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
160.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
159.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
156.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
156.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
155.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
153.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
153.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
152.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
152.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
151.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
150.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
149.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
145.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
144.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
144.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
142.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
141.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
141.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
141.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
141.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
141.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
140.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
139.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
139.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
138.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
137.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
136.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
136.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
135.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
134.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
134.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
134.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
134.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
134.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
134.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
133.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
133.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
132.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
132.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
131.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
131.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
131.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
130.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
130.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
129.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
129.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
128.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
128.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
128.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
128.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
127.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
126.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
126.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
125.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
124.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
124.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
124.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
123.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
123.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
122.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
122.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
122.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
122.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
122.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
122.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
121.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
121.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
121.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
120.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
120.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
120.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
119.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
119.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
119.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
119.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
118.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
118.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
118.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
117.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
117.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
117.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
117.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
116.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
116.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
115.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
115.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
114.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
114.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
114.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
114.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
113.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
113.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
113.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
112.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
112.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
111.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
111.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
111.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
111.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
110.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
110.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
110.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
110.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
110.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
109.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
109.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
109.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
109.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
108.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
108.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
108.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
108.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
108.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
108.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
107.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
107.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
107.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
107.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
107.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
107.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
107.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
106.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
106.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
106.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
106.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
106.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
106.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
106.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
106.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
105.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
105.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
105.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
105.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
104.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
104.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
104.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
104.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
104.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
104.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
104.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
104.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
104.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
103.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
103.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
103.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
103.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
103.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
103.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
103.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
102.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
102.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
102.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
102.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
101.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
101.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
101.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
101.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
101.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
101.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
100.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
100.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
100.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
100.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
100.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
100.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
100.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
100.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
100.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
99.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
99.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
99.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
99.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
99.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
99.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
98.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
98.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
97.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
97.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
97.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
97.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
97.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
97.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
96.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
96.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
96.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
96.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
96.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
96.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
96.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
95.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
95.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
94.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
94.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
94.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
94.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
94.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
93.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
93.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
93.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
93.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
93.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
92.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
92.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
91.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
91.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
91.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
91.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
91.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
91.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
90.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
90.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
90.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
90.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
90.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
90.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
90.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
90.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
89.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
89.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
89.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
88.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
88.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
88.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
88.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
88.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
88.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
88.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
88.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
88.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
87.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
87.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
87.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
87.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
87.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
86.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
86.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
86.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
86.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
86.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
86.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
86.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
85.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
85.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
85.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
85.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
85.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
84.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
84.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
84.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
84.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
83.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
83.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
83.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
83.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
83.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
83.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
83.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
82.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
82.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
82.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
82.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
81.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
81.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
81.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
81.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
81.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
81.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
81.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
80.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
79.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
79.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
78.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
77.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
77.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
77.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
76.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
76.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
75.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
75.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
74.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
74.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
74.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
74.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
74.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
73.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
73.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
72.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
71.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
70.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
70.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
69.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
69.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
69.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
68.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
68.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
68.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
65.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
64.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
62.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
62.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
62.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
61.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
59.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
57.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
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.
YBX3 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
89.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
871.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
227.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
159.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
131.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
130.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
123.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
120.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
119.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
111.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
109.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
109.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
107.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
99.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
99.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
97.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
94.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
94.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
93.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
93.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
93.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
93.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
93.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
92.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
92.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
91.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
91.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
91.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
90.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
90.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
89.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
88.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
88.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
87.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
86.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
84.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
83.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
83.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
80.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
79.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
77.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
76.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
69.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
67.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
65.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
64.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
64.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
61.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
60.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
56.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
53.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
53.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
32.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
YBX3 is potential prognostic, high expression is favorable 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
96.0
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
217.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
210.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
172.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
168.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
168.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
165.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
164.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
164.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
160.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
158.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
154.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
153.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
151.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
151.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
150.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
143.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
140.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
130.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
130.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
129.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
128.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
128.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
128.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
126.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
125.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
125.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
121.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
120.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
120.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
120.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
120.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
119.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
118.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
118.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
117.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
117.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
116.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
115.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
115.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
114.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
114.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
114.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
114.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
114.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
113.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
111.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
111.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
111.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
110.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
110.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
110.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
109.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
109.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
109.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
107.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
107.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
105.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
105.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
104.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
104.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
104.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
104.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
103.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
103.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
103.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
103.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
102.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
102.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
102.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
102.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
102.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
101.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
100.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
100.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
100.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
99.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
97.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
96.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
96.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
96.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
95.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
95.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
95.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
95.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
95.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
94.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
94.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
93.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
93.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
93.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
92.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
92.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
92.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
92.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
92.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
91.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
91.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
91.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
91.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
91.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
90.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
90.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
90.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
89.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
89.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
89.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
89.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
88.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
87.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
87.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
87.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
86.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
86.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
85.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
85.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
84.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
84.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
84.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
83.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
83.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
83.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
83.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
83.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
82.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
79.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
79.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
78.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
78.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
78.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
77.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
77.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
76.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
76.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
75.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
74.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
74.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
74.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
73.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
71.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
69.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
69.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
68.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
67.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
66.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
65.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
64.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
62.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
53.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
52.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
49.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
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
