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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.
MCL1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
92.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
342.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
307.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
242.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
234.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
220.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
212.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
196.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
192.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
182.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
178.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
176.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
175.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
171.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
170.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
169.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
167.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
158.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
156.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
155.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
154.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
154.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
152.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
152.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
145.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
145.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
143.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
138.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
136.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
133.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
133.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
132.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
132.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
128.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
128.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
127.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
126.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
123.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
123.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
123.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
123.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
122.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
122.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
121.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
120.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
120.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
119.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
119.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
118.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
118.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
118.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
118.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
117.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
117.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
115.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
115.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
115.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
114.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
112.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
111.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
110.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
110.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
109.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
108.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
108.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
105.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
104.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
104.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
103.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
103.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
102.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
102.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
100.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
98.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
98.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
98.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
98.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
98.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
97.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
97.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
97.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
97.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
97.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
96.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
96.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
96.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
96.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
96.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
96.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
95.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
95.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
94.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
94.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
94.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
93.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
93.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
92.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
91.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
91.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
91.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
90.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
90.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
90.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
90.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
89.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
89.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
89.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
88.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
88.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
88.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
88.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
88.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
87.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
87.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
87.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
87.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
87.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
85.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
85.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
85.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
84.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
83.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
82.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
82.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
82.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
82.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
82.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
81.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
80.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
80.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
80.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
80.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
80.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
80.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
80.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
79.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
79.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
79.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
78.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
78.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
78.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
78.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
77.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
76.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
76.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
76.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
75.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
74.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
73.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
73.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
72.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
71.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
71.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
71.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
71.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
70.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
69.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
69.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
68.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
66.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
66.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
65.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
65.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
64.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
64.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
64.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
63.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
61.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
61.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
60.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
59.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
59.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
59.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
58.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
57.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
57.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
55.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
55.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
55.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
52.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
52.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
50.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
49.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
47.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
47.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
45.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
44.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
37.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
MCL1 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
112.7
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
326.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
316.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
279.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
273.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
261.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
255.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
252.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
250.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
243.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
240.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
236.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
236.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
235.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
229.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
227.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
226.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
222.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
212.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
210.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
206.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
204.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
202.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
202.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
200.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
197.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
196.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
193.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
192.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
189.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
187.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
187.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
186.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
186.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
184.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
184.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
182.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
182.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
182.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
181.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
181.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
179.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
179.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
178.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
177.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
177.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
175.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
174.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
173.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
172.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
172.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
172.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
171.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
171.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
170.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
168.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
168.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
168.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
166.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
164.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
163.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
163.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
162.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
161.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
160.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
160.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
160.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
159.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
159.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
158.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
157.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
157.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
156.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
155.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
154.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
154.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
153.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
153.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
153.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
153.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
153.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
152.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
152.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
152.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
151.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
151.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
150.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
150.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
150.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
150.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
149.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
148.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
148.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
148.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
147.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
147.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
146.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
146.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
145.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
145.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
143.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
143.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
143.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
142.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
142.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
141.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
141.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
140.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
140.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
140.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
140.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
140.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
138.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
138.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
138.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
137.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
137.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
135.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
135.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
134.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
134.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
134.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
134.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
134.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
134.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
133.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
133.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
133.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
133.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
132.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
131.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
131.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
131.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
131.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
131.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
131.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
131.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
130.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
130.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
130.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
129.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
129.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
128.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
128.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
128.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
127.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
126.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
126.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
126.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
126.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
126.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
125.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
124.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
124.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
124.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
124.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
123.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
122.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
122.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
122.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
122.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
122.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
121.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
121.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
121.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
121.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
121.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
120.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
119.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
119.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
119.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
118.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
118.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
118.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
118.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
118.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
117.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
117.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
117.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
116.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
116.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
116.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
115.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
115.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
115.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
115.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
113.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
113.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
113.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
113.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
113.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
112.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
112.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
112.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
111.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
111.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
111.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
111.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
110.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
110.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
110.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
110.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
110.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
110.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
110.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
109.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
109.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
109.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
109.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
107.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
107.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
107.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
107.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
107.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
106.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
106.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
106.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
106.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
106.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
106.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
106.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
105.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
105.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
105.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
105.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
105.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
104.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
104.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
104.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
104.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
104.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
104.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
104.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
103.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
103.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
103.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
103.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
103.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
103.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
103.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
102.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
102.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
101.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
101.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
100.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
100.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
99.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
99.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
99.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
98.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
98.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
98.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
98.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
97.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
97.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
96.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
96.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
96.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
96.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
96.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
95.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
95.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
95.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
95.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
95.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
94.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
94.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
94.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
94.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
94.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
94.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
93.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
93.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
93.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
93.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
93.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
93.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
92.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
92.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
92.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
92.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
92.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
92.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
91.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
90.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
90.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
90.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
90.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
89.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
88.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
88.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
88.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
87.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
87.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
86.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
86.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
86.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
85.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
85.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
85.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
84.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
84.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
84.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
84.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
83.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
83.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
83.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
83.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
82.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
82.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
82.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
82.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
81.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
81.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
81.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
81.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
81.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
80.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
80.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
79.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
79.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
79.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
78.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
78.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
78.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
78.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
77.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
77.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
77.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
77.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
77.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
76.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
75.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
75.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
75.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
75.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
74.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
74.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
74.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
74.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
73.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
72.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
72.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
72.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
72.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
72.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
70.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
69.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
69.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
66.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
66.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
63.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
63.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
61.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
59.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
55.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
53.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
52.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
23.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MCL1 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
96.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
294.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
292.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
232.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
198.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
188.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
161.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
156.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
150.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
146.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
141.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
139.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
133.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
133.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
130.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
128.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
121.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
119.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
119.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
118.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
118.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
117.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
116.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
115.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
114.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
113.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
112.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
108.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
106.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
105.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
101.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
100.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
100.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
99.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
97.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
97.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
93.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
92.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
91.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
90.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
89.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
86.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
84.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
83.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
81.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
81.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
80.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
78.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
78.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
77.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
76.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
76.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
73.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
71.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
68.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
68.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
67.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
66.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
62.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
60.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
56.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
56.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
53.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
50.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
47.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MCL1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
90.7
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
219.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
214.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
209.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
196.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
183.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
181.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
179.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
173.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
164.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
164.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
162.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
162.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
156.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
154.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
150.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
148.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
146.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
145.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
142.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
140.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
137.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
137.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
135.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
135.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
133.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
132.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
132.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
131.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
130.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
127.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
127.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
125.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
125.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
124.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
124.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
124.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
123.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
123.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
122.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
121.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
120.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
120.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
119.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
119.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
118.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
117.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
115.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
115.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
114.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
112.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
110.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
108.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
107.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
106.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
106.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
106.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
105.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
103.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
103.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
103.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
103.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
102.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
101.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
99.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
98.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
98.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
98.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
97.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
97.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
95.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
92.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
91.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
91.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
91.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
90.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
88.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
88.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
88.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
88.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
87.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
87.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
86.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
86.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
86.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
85.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
84.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
84.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
83.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
82.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
81.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
81.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
81.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
80.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
80.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
80.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
80.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
79.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
75.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
74.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
74.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
74.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
72.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
72.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
72.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
71.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
71.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
70.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
68.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
67.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
66.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
64.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
63.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
58.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
58.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
57.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
56.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
47.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
2.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
