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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.
TRAM1 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
88.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
344.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
260.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
234.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
204.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
191.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
191.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
182.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
179.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
177.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
175.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
174.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
173.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
173.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
170.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
164.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
162.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
162.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
159.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
158.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
155.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
145.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
144.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
144.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
142.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
142.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
141.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
139.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
138.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
136.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
135.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
134.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
133.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
131.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
130.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
128.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
127.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
126.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
125.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
123.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
123.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
121.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
120.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
120.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
119.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
118.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
116.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
116.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
116.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
116.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
116.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
116.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
114.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
114.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
113.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
112.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
111.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
111.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
111.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
110.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
109.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
108.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
107.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
107.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
106.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
105.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
104.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
104.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
103.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
103.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
103.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
102.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
101.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
100.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
100.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
99.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
99.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
98.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
97.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
97.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
95.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
95.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
94.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
94.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
94.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
93.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
93.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
92.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
92.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
92.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
92.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
92.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
92.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
92.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
91.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
90.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
90.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
89.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
87.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
87.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
86.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
86.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
85.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
85.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
84.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
84.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
83.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
82.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
81.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
81.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
79.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
79.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
78.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
76.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
74.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
73.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
73.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
73.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
72.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
72.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
71.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
70.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
68.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
68.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
67.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
67.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
66.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
66.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
65.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
65.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
63.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
63.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
63.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
61.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
61.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
60.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
60.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
59.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
59.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
56.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
54.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
54.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
54.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
53.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
51.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
51.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
48.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
48.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
47.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
45.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
45.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
44.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
43.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
41.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
38.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
32.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
TRAM1 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
85.3
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
270.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
234.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
225.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
200.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
192.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
192.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
181.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
177.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
174.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
171.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
168.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
157.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
155.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
153.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
149.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
149.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
144.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
144.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
141.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
141.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
140.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
139.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
139.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
136.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
135.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
134.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
133.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
133.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
133.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
133.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
133.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
133.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
132.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
130.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
129.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
129.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
128.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
128.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
128.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
127.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
124.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
124.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
124.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
123.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
122.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
122.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
121.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
120.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
120.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
117.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
117.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
116.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
116.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
115.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
115.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
114.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
113.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
113.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
112.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
111.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
111.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
110.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
109.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
109.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
109.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
109.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
108.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
108.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
107.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
107.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
106.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
106.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
106.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
105.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
105.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
105.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
105.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
104.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
104.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
104.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
103.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
102.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
102.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
102.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
102.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
101.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
101.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
101.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
100.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
99.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
99.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
99.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
99.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
99.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
98.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
98.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
98.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
98.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
98.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
97.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
97.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
97.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
97.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
96.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
96.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
95.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
95.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
95.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
95.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
95.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
94.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
94.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
94.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
93.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
93.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
93.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
93.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
93.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
93.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
92.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
92.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
92.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
92.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
92.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
92.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
92.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
92.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
92.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
92.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
91.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
91.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
91.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
91.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
90.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
90.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
90.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
90.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
90.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
90.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
89.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
89.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
89.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
89.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
89.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
89.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
88.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
88.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
88.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
88.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
88.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
88.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
88.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
88.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
88.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
87.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
87.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
87.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
87.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
87.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
86.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
86.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
86.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
86.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
86.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
85.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
85.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
85.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
85.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
84.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
84.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
84.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
84.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
83.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
83.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
83.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
82.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
82.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
82.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
82.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
82.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
81.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
81.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
81.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
80.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
80.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
80.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
79.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
79.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
78.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
78.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
78.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
78.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
78.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
78.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
76.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
76.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
76.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
76.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
75.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
75.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
75.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
75.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
74.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
74.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
74.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
73.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
73.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
72.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
72.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
72.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
72.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
71.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
71.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
71.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
71.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
70.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
69.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
69.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
69.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
68.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
68.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
68.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
66.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
65.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
65.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
65.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
64.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
62.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
62.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
61.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
59.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
58.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
56.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
48.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.0
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.
TRAM1 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
93.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
247.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
172.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
169.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
160.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
159.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
154.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
139.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
137.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
133.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
131.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
131.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
130.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
130.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
129.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
128.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
126.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
125.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
124.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
122.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
120.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
117.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
112.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
111.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
111.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
110.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
108.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
107.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
107.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
105.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
105.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
104.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
102.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
100.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
96.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
95.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
92.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
91.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
91.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
90.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
90.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
87.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
87.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
86.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
86.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
83.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
82.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
82.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
80.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
76.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
76.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
73.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
72.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
70.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
69.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
67.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
67.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
65.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
65.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
63.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
49.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
48.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
35.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.8
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.
TRAM1 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
84.2
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
179.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
171.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
168.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
165.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
159.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
155.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
152.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
148.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
138.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
136.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
135.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
135.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
129.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
127.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
125.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
123.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
121.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
117.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
116.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
115.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
114.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
114.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
113.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
112.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
111.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
110.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
110.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
110.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
109.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
108.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
108.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
106.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
105.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
104.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
104.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
103.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
102.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
102.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
101.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
101.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
100.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
100.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
100.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
99.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
99.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
98.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
98.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
96.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
96.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
95.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
95.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
94.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
93.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
93.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
92.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
92.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
92.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
92.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
91.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
91.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
90.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
90.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
90.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
89.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
89.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
89.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
89.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
89.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
88.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
87.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
87.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
87.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
86.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
86.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
86.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
86.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
86.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
86.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
85.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
85.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
85.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
84.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
84.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
84.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
83.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
82.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
82.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
82.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
81.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
80.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
80.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
79.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
79.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
79.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
78.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
77.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
77.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
77.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
76.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
76.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
76.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
76.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
76.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
76.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
76.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
75.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
75.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
74.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
74.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
73.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
72.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
71.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
70.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
70.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
69.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
69.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
68.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
67.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
65.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
65.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
61.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
60.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
59.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
58.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
56.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
54.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
44.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
