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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.
KRT20 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
93.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1241.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
731.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
487.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
486.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
406.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
396.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
383.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
301.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
298.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
285.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
260.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
254.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
254.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
246.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
240.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
231.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
223.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
220.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
217.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
205.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
204.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
199.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
195.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
195.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
191.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
191.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
189.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
184.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
183.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
180.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
180.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
176.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
170.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
167.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
166.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
166.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
165.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
165.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
165.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
164.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
159.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
159.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
157.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
156.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
154.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
147.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
141.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
141.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
141.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
140.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
140.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
138.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
138.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
138.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
138.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
137.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
137.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
137.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
133.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
128.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
126.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
121.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
120.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
117.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
113.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
112.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
110.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
109.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
109.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
108.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
108.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
106.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
105.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
101.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
101.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
101.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
101.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
99.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
98.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
97.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
96.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
95.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
93.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
93.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
93.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
91.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
90.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
88.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
87.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
86.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
85.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
84.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
83.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
81.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
78.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
78.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
77.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
76.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
76.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
76.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
75.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
73.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
73.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
72.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
71.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
69.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
68.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
67.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
66.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
65.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
64.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
61.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
59.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
59.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
58.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
54.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
54.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
52.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
51.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
50.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
49.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
49.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
48.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
47.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
46.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
46.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
42.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
41.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
40.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
39.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
35.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
33.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
32.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
30.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
27.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
26.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
7.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
6.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
4.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
3.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 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.
KRT20 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
102.8
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
672.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
645.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
577.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
510.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
457.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
455.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
387.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
382.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
366.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
365.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
349.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
325.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
325.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
319.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
318.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
315.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
305.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
303.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
302.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
289.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
289.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
287.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
279.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
276.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
271.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
271.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
270.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
258.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
258.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
258.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
252.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
247.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
244.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
240.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
234.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
227.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
224.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
221.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
215.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
215.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
215.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
214.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
213.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
212.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
212.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
207.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
202.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
201.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
199.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
197.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
197.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
195.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
194.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
194.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
194.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
192.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
191.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
191.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
190.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
190.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
189.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
187.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
187.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
187.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
186.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
185.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
184.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
183.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
183.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
183.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
182.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
182.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
181.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
178.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
177.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
176.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
175.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
174.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
170.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
170.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
168.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
167.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
164.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
162.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
161.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
161.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
161.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
160.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
158.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
157.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
157.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
157.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
156.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
155.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
154.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
153.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
153.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
153.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
153.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
151.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
151.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
151.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
150.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
149.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
149.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
148.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
146.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
146.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
145.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
144.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
143.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
140.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
137.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
136.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
135.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
135.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
134.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
133.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
133.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
133.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
132.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
131.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
129.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
129.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
129.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
128.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
128.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
128.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
128.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
128.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
127.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
127.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
126.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
126.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
125.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
124.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
124.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
124.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
123.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
123.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
122.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
122.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
122.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
121.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
121.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
121.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
121.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
120.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
119.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
119.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
119.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
119.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
118.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
118.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
117.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
117.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
116.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
116.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
115.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
115.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
114.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
114.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
114.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
113.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
113.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
112.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
112.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
112.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
111.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
111.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
111.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
111.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
110.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
109.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
109.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
109.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
108.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
108.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
108.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
107.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
107.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
107.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
106.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
106.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
106.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
106.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
106.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
104.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
104.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
103.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
103.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
103.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
103.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
102.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
102.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
101.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
101.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
101.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
100.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
100.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
99.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
99.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
99.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
98.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
98.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
97.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
97.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
97.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
96.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
96.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
95.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
95.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
94.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
94.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
93.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
92.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
92.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
91.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
91.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
91.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
91.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
90.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
90.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
89.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
89.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
88.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
88.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
87.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
87.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
87.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
86.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
86.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
84.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
79.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
78.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
77.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
77.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
77.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
76.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
76.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
74.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
73.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
73.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
72.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
72.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
71.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
71.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
70.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
68.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
68.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
65.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
64.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
64.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
61.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
52.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
47.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
44.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
43.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
39.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
35.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
34.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
29.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
29.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
26.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
24.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
23.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
23.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
22.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
21.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
21.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
20.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
20.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
19.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
18.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
18.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
17.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
17.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
16.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
16.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
16.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
15.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
15.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
15.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
14.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
13.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
13.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
13.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
13.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
12.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
12.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
12.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
10.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
9.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
9.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
8.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
7.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
6.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
6.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
5.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
5.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
5.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
3.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
2.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
2.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
0.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
0.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
0.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 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.
KRT20 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
114.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2485.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
509.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
391.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
307.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
282.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
231.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
229.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
222.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
206.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
167.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
165.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
161.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
156.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
154.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
134.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
132.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
129.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
122.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
121.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
121.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
117.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
117.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
112.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
107.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
106.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
105.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
105.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
101.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
88.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
87.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
83.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
80.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
76.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
65.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
63.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
61.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
60.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
57.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
55.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
51.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
48.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
32.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
31.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
15.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
4.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
KRT20 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
88.0
Number of samples
207
Samples
Sample
Description
TPM
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
363.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
236.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
227.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
227.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
224.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
218.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
217.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
208.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
200.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
198.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
195.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
192.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
186.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
183.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
182.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
167.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
166.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
165.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
161.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
156.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
154.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
153.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
153.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
150.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
146.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
146.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
146.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
145.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
145.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
145.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
142.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
142.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
141.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
141.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
139.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
139.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
139.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
138.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
137.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
136.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
133.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
132.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
132.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
130.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
130.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
129.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
128.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
127.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
127.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
127.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
125.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
124.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
123.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
122.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
119.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
117.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
115.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
114.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
111.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
111.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
110.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
108.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
106.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
106.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
104.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
104.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
103.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
103.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
103.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
103.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
100.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
99.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
97.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
97.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
96.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
95.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
95.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
94.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
94.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
93.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
92.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
92.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
91.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
91.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
88.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
87.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
86.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
86.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
84.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
80.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
79.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
76.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
75.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
74.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
74.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
72.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
69.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
68.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
66.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
62.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
52.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
49.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
44.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
33.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
32.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
30.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
18.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
17.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
15.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
11.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
6.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
5.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-2.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-2.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.7
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
