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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.
ANXA1 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
83.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1077.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1060.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
771.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
473.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
462.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
348.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
299.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
267.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
251.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
249.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
233.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
228.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
212.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
212.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
208.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
201.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
200.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
198.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
193.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
191.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
191.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
188.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
184.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
174.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
173.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
161.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
149.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
145.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
137.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
136.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
134.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
133.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
128.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
123.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
120.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
117.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
117.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
117.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
113.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
113.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
112.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
111.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
108.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
107.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
101.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
100.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
98.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
98.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
98.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
97.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
96.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
96.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
96.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
95.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
95.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
95.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
94.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
92.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
92.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
90.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
90.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
86.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
86.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
85.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
84.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
84.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
83.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
82.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
79.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
79.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
78.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
78.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
77.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
77.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
76.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
76.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
76.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
75.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
74.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
74.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
71.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
71.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
70.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
69.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
68.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
67.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
64.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
64.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
63.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
62.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
62.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
61.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
60.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
60.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
55.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
53.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
53.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
53.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
51.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
46.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
38.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
34.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
33.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
31.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
29.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
26.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
14.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
13.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.0
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.
ANXA1 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
69.4
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
595.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
577.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
336.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
335.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
266.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
259.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
258.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
257.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
256.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
250.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
241.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
240.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
236.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
226.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
218.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
215.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
205.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
204.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
203.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
203.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
197.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
196.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
193.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
187.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
183.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
175.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
173.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
168.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
161.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
159.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
156.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
156.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
155.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
155.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
151.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
150.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
149.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
149.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
146.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
146.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
144.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
142.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
140.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
137.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
136.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
136.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
136.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
134.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
133.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
133.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
133.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
132.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
130.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
130.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
130.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
128.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
128.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
128.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
127.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
126.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
125.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
124.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
124.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
123.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
119.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
118.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
117.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
117.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
112.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
109.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
108.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
104.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
104.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
103.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
103.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
101.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
101.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
100.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
100.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
99.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
99.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
98.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
97.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
96.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
96.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
94.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
93.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
92.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
92.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
90.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
90.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
90.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
89.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
89.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
88.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
87.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
87.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
87.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
86.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
85.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
85.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
84.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
84.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
83.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
83.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
82.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
81.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
80.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
79.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
78.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
77.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
75.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
73.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
71.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
69.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
69.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
67.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
67.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
67.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
66.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
63.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
62.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
59.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
57.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
57.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
56.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
55.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
55.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
54.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
54.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
49.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
47.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
46.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
44.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
42.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
40.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
34.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
29.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
29.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
28.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
27.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
27.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
27.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
27.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
26.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
26.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
26.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
24.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
24.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
24.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
24.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
23.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
22.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
21.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
21.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
20.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
20.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
20.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
20.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
20.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
19.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
19.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
18.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
18.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
15.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
15.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
14.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
14.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
14.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
13.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
11.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
11.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ANXA1 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
67.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
205.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
198.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
179.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
176.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
174.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
161.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
155.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
154.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
145.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
136.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
132.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
126.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
121.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
119.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
118.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
108.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
97.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
91.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
90.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
90.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
86.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
83.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
80.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
78.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
75.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
73.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
72.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
71.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
70.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
68.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
65.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
63.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
59.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
57.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
45.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
45.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
42.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
35.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
14.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
ANXA1 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
57.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
463.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
284.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
237.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
214.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
191.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
172.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
160.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
147.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
132.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
122.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
120.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
118.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
117.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
116.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
112.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
111.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
109.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
108.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
107.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
106.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
104.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
102.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
94.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
94.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
93.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
92.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
91.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
90.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
87.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
85.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
84.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
83.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
82.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
82.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
82.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
81.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
81.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
76.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
74.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
71.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
70.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
63.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
49.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
46.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
25.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
24.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
24.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
20.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
20.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
19.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
19.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
17.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
16.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
16.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
15.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
11.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
10.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
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
