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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.
ISG15 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
116.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1422.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
737.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
668.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
590.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
534.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
428.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
418.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
352.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
345.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
337.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
334.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
314.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
312.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
311.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
302.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
280.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
280.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
270.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
264.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
254.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
242.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
240.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
238.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
238.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
237.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
237.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
236.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
232.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
232.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
225.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
223.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
220.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
218.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
208.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
204.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
200.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
197.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
196.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
186.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
186.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
185.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
185.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
184.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
182.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
178.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
175.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
175.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
172.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
169.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
166.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
165.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
165.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
161.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
159.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
159.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
158.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
156.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
154.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
154.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
151.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
150.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
150.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
147.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
146.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
146.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
145.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
144.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
141.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
140.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
139.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
139.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
139.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
139.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
135.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
134.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
133.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
133.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
133.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
132.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
129.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
128.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
126.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
126.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
123.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
122.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
121.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
120.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
120.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
119.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
117.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
117.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
116.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
116.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
116.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
115.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
110.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
106.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
105.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
102.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
101.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
100.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
96.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
95.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
94.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
94.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
89.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
89.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
89.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
87.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
87.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
87.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
87.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
86.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
86.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
85.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
83.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
82.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
80.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
79.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
78.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
75.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
75.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
73.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
71.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
70.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
70.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
69.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
69.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
69.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
68.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
65.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
64.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
63.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
63.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
62.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
62.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
60.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
60.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
59.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
58.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
56.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
55.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
55.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
54.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
51.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
50.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
46.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
46.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
40.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
37.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
37.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
35.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ISG15 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
52.2
Number of samples
486
Samples
Sample
Description
TPM
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
398.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
365.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
362.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
352.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
315.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
306.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
292.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
282.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
279.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
268.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
256.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
235.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
208.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
205.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
203.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
197.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
194.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
189.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
188.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
186.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
186.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
180.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
177.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
168.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
166.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
164.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
161.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
159.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
157.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
156.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
154.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
154.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
149.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
149.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
147.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
143.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
143.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
142.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
141.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
138.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
135.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
134.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
132.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
132.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
130.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
130.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
129.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
127.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
121.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
117.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
109.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
108.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
108.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
107.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
102.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
100.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
97.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
93.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
91.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
89.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
89.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
87.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
87.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
86.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
86.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
85.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
85.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
83.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
81.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
79.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
79.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
77.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
77.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
77.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
75.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
74.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
74.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
71.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
71.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
70.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
67.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
64.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
63.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
63.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
63.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
62.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
61.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
60.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
59.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
56.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
51.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
45.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
44.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
43.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
40.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
38.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
36.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
35.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
34.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
34.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
34.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
30.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
30.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
29.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
29.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
29.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
28.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
28.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
26.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
25.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
25.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
24.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
24.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
24.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
24.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
23.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
23.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
23.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
23.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
22.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
22.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
22.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
22.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
22.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
21.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
21.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
21.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
21.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
21.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
21.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
20.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
20.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
20.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
20.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
20.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
20.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
20.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
19.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
19.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
18.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
18.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
18.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
18.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
18.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
17.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
17.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
17.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
17.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
17.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
17.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
17.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
17.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
17.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
17.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
17.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
17.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
16.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
16.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
16.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
16.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
16.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
16.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
16.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
16.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
15.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
15.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
15.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
15.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
15.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
14.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
14.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
14.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
14.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
14.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
14.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
14.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
14.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
14.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
14.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
13.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
13.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
13.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
13.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
13.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
13.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
13.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
13.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
13.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
13.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
13.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
12.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
12.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
12.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
12.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
12.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
12.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
11.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
11.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
11.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
11.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
11.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
11.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
11.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
11.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
10.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
10.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
10.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
10.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
10.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
10.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
9.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
9.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
9.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
9.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
9.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
9.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
9.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
9.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
8.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
8.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
7.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
7.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
7.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
5.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
5.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ISG15 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
91.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
564.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
440.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
384.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
324.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
285.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
280.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
276.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
260.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
246.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
194.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
184.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
176.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
164.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
160.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
132.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
128.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
121.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
117.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
113.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
111.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
108.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
107.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
99.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
98.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
91.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
88.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
82.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
75.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
73.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
70.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
70.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
66.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
65.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
65.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
60.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
55.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
52.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
46.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
44.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
32.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
32.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
18.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 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.
ISG15 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
35.1
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
392.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
188.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
160.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
150.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
149.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
145.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
140.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
129.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
116.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
108.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
108.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
105.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
104.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
100.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
94.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
90.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
88.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
87.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
82.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
65.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
61.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
35.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
29.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
29.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
25.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
25.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
24.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
23.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
23.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
21.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
21.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
21.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
20.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
20.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
19.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
19.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
18.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
18.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
18.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
18.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
18.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
17.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
17.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
17.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
16.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
16.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
16.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
15.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
15.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
15.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
15.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
15.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
15.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
14.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
14.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
14.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
14.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
13.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
13.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
13.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
13.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
13.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
13.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
13.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
12.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
12.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
12.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
12.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
12.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
12.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
11.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
11.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
11.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
11.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
11.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
10.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
10.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
10.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
10.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
10.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
9.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
9.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
8.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
8.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
8.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
8.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
8.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
8.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
8.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
8.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
8.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
7.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
7.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
6.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
6.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
6.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
5.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
5.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
4.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
3.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
2.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.1
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
