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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.
STAT1 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
57.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
496.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
459.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
205.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
204.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
199.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
187.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
181.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
179.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
170.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
162.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
161.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
156.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
146.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
141.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
136.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
135.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
135.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
134.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
129.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
122.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
119.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
117.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
116.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
115.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
113.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
110.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
109.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
106.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
105.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
103.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
102.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
100.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
100.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
97.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
96.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
96.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
92.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
89.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
89.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
89.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
85.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
83.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
80.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
79.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
76.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
74.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
73.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
72.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
72.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
71.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
69.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
68.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
68.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
67.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
66.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
66.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
64.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
64.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
63.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
60.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
58.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
56.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
53.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
53.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
52.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
51.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
51.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
50.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
47.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
46.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
44.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
43.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
43.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
41.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
39.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
33.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
33.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
31.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
27.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
26.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
24.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
23.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
STAT1 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
121.8
Number of samples
486
Samples
Sample
Description
TPM
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
529.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
513.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
494.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
487.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
478.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
446.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
446.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
435.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
402.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
395.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
394.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
375.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
374.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
373.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
367.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
360.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
348.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
342.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
331.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
327.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
322.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
317.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
313.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
312.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
308.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
301.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
298.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
297.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
297.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
297.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
295.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
287.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
286.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
284.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
281.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
274.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
274.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
270.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
269.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
263.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
263.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
258.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
257.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
252.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
247.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
245.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
243.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
240.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
240.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
239.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
236.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
235.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
231.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
231.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
229.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
226.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
224.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
223.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
219.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
218.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
216.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
214.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
212.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
212.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
211.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
210.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
207.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
206.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
206.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
205.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
204.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
203.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
201.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
197.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
192.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
191.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
191.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
188.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
185.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
184.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
183.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
180.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
177.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
176.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
174.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
174.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
172.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
170.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
168.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
168.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
168.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
167.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
166.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
166.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
163.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
161.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
161.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
160.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
159.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
159.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
158.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
158.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
156.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
156.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
156.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
156.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
155.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
154.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
153.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
153.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
153.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
153.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
152.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
152.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
150.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
149.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
147.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
146.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
146.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
145.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
145.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
143.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
142.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
140.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
139.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
139.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
138.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
138.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
138.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
137.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
137.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
137.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
137.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
136.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
136.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
135.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
135.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
135.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
134.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
133.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
133.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
132.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
132.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
132.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
131.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
131.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
130.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
130.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
130.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
127.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
126.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
126.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
126.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
125.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
125.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
125.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
124.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
124.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
124.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
124.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
122.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
122.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
121.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
120.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
120.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
119.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
119.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
119.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
118.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
118.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
117.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
116.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
116.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
115.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
115.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
115.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
115.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
115.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
115.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
114.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
114.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
114.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
114.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
113.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
113.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
112.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
112.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
112.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
112.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
112.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
112.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
111.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
111.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
111.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
110.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
110.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
110.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
109.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
108.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
108.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
108.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
106.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
105.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
105.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
105.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
105.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
104.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
104.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
104.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
104.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
104.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
103.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
103.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
103.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
102.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
101.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
101.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
100.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
100.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
100.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
100.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
99.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
99.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
99.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
99.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
99.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
99.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
99.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
98.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
98.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
98.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
97.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
97.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
96.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
94.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
93.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
93.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
92.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
92.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
92.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
92.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
91.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
91.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
91.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
90.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
90.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
89.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
89.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
88.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
87.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
86.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
86.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
86.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
85.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
85.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
85.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
84.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
84.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
83.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
83.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
83.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
81.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
79.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
79.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
79.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
78.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
78.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
78.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
77.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
77.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
77.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
76.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
75.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
75.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
74.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
74.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
74.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
73.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
73.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
72.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
72.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
71.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
70.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
70.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
70.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
70.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
69.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
68.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
68.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
67.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
67.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
65.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
63.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
63.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
61.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
61.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
61.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
57.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
51.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
48.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
45.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STAT1 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
49.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
207.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
149.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
137.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
120.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
118.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
115.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
100.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
99.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
96.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
91.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
85.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
80.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
79.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
69.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
69.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
58.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
56.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
56.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
44.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
42.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
41.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
35.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
30.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
23.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
23.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
22.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
19.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STAT1 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
91.3
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
318.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
302.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
261.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
234.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
217.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
212.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
203.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
199.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
196.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
195.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
194.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
193.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
186.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
177.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
172.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
170.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
170.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
163.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
162.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
158.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
157.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
157.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
156.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
155.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
153.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
152.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
148.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
144.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
142.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
142.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
137.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
137.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
135.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
134.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
132.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
131.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
131.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
130.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
130.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
125.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
124.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
124.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
123.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
123.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
122.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
121.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
119.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
119.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
118.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
118.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
116.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
116.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
116.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
115.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
115.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
114.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
114.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
114.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
112.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
112.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
111.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
110.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
110.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
109.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
109.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
108.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
107.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
107.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
106.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
105.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
104.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
103.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
102.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
102.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
100.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
100.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
99.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
96.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
96.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
93.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
92.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
88.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
87.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
85.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
83.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
82.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
82.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
81.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
80.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
79.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
77.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
73.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
71.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
70.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
62.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
62.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
53.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
52.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
48.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
44.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.8
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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
1.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
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
