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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.
TUBA1A 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
80.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
345.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
333.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
329.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
327.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
283.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
268.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
263.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
252.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
230.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
228.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
222.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
218.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
216.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
212.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
198.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
195.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
190.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
185.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
181.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
179.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
177.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
173.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
172.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
169.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
167.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
164.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
161.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
155.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
150.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
148.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
147.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
147.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
145.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
143.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
142.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
140.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
138.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
137.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
137.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
137.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
133.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
131.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
131.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
128.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
127.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
125.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
124.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
124.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
121.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
121.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
117.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
115.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
115.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
114.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
113.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
112.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
111.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
108.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
105.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
105.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
102.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
101.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
100.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
98.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
98.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
97.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
97.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
96.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
95.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
95.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
95.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
93.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
93.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
92.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
91.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
90.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
88.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
87.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
87.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
86.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
86.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
85.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
84.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
79.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
79.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
77.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
77.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
76.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
76.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
76.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
75.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
75.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
73.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
71.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
70.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
70.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
69.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
68.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
67.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
67.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
66.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
65.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
63.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
63.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
62.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
61.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
58.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
58.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
58.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
58.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
57.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
54.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
53.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
53.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
51.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
38.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
31.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
31.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
29.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
26.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
25.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
24.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
20.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
18.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
17.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
17.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 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.
TUBA1A 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
59.3
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
313.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
225.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
224.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
183.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
169.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
164.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
163.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
151.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
150.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
149.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
145.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
140.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
139.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
138.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
137.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
136.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
135.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
134.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
134.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
132.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
131.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
130.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
130.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
126.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
123.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
122.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
121.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
118.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
116.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
116.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
116.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
114.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
112.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
112.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
111.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
110.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
109.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
109.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
106.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
106.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
105.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
104.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
104.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
103.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
102.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
102.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
102.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
101.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
101.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
101.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
100.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
100.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
99.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
97.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
96.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
96.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
96.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
95.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
95.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
94.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
93.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
93.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
92.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
92.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
91.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
91.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
90.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
90.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
89.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
89.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
87.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
86.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
86.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
84.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
83.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
83.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
83.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
82.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
81.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
80.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
79.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
77.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
77.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
75.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
75.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
73.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
72.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
71.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
70.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
69.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
69.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
69.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
69.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
69.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
68.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
68.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
65.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
65.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
65.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
64.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
64.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
64.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
64.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
63.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
61.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
55.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
54.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
51.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
46.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
42.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
41.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
39.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
39.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
39.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
36.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
36.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
34.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
32.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
31.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
29.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
29.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
28.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
24.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
24.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
24.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
24.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
24.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
23.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
23.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
22.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
21.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
21.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
21.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
21.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
21.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
20.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
20.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
20.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
18.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
18.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
17.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
16.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
16.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
15.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
15.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
13.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
13.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
13.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
TUBA1A 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
82.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
254.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
244.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
236.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
209.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
203.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
179.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
170.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
163.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
162.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
156.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
155.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
150.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
150.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
132.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
125.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
124.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
124.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
115.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
112.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
108.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
106.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
105.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
102.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
95.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
90.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
85.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
82.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
80.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
80.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
75.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
74.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
74.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
73.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
73.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
70.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
69.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
69.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
69.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
62.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
62.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
61.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
60.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
56.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
52.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
44.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
39.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 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.
TUBA1A 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
54.2
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
201.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
157.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
152.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
152.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
151.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
146.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
140.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
140.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
129.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
126.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
125.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
124.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
124.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
123.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
121.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
121.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
112.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
105.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
102.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
101.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
97.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
96.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
89.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
88.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
87.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
87.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
85.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
85.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
83.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
80.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
80.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
80.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
78.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
76.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
73.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
70.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
70.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
70.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
69.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
66.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
59.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
59.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
59.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
56.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
56.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
56.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
49.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
33.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
32.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
30.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
30.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
28.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
26.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
23.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
23.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
21.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
20.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
19.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
18.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
15.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
15.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
15.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
13.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
12.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
9.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
