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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.
QPRT 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
57.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
324.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
255.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
231.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
222.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
207.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
195.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
195.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
194.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
180.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
172.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
168.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
164.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
161.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
156.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
152.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
150.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
141.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
139.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
139.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
137.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
136.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
133.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
132.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
132.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
132.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
131.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
129.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
127.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
126.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
120.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
120.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
118.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
118.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
118.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
117.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
117.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
115.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
115.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
115.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
115.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
112.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
112.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
109.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
105.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
104.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
103.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
101.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
100.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
100.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
97.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
94.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
93.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
92.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
91.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
91.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
88.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
84.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
82.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
82.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
82.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
81.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
80.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
80.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
79.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
78.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
78.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
78.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
75.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
74.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
73.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
69.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
68.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
65.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
64.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
64.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
64.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
63.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
60.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
60.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
60.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
59.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
57.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
56.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
56.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
55.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
53.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
52.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
50.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
46.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
41.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
39.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
26.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
11.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
9.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
8.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
7.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
7.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
6.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
6.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
5.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
3.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
2.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 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.
QPRT 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
29.2
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
145.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
142.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
127.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
117.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
100.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
100.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
100.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
97.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
93.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
93.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
90.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
87.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
81.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
80.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
80.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
79.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
79.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
76.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
75.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
75.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
74.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
74.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
72.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
71.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
65.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
65.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
61.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
61.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
60.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
54.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
46.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
40.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
37.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
36.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
35.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
32.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
32.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
31.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
27.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
26.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
25.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
25.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
25.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
24.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
24.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
23.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
23.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
22.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
22.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
22.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
22.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
21.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
21.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
21.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
21.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
20.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
20.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
20.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
20.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
19.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
18.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
17.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
17.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
16.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
16.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
16.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
16.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
15.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
15.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
15.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
15.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
15.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
15.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
14.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
14.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
14.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
14.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
14.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
14.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
14.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
14.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
14.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
14.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
14.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
13.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
13.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
13.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
13.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
13.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
13.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
13.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
13.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
12.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
12.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
12.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
12.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
12.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
12.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
12.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
11.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
11.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
11.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
11.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
11.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
10.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
10.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
10.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
10.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
10.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
10.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
10.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
10.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
9.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
9.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
9.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
9.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
9.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
9.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
9.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
9.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
8.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
8.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
8.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
8.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
8.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
8.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
8.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
8.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
8.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
8.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
8.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
8.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
8.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
8.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
8.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
7.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
7.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
7.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
7.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
7.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
7.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
7.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
7.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
7.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
7.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
7.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
7.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
7.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
7.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
7.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
7.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
7.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
7.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
7.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
6.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
6.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
6.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
6.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
6.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
6.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
6.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
6.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
6.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
6.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
6.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
6.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
6.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
6.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
6.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
6.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
6.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
6.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
5.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
5.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
5.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
5.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
5.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
5.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
5.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
5.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
5.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
5.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
5.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
5.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
5.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
5.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
5.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
5.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
5.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
5.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
5.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
5.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
5.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
5.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
5.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
5.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
4.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
4.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
4.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
4.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
4.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
4.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
4.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
4.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
4.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
4.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
4.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
4.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
4.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
4.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
4.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
4.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
4.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
4.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
4.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
4.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
4.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
4.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
4.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
4.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
4.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
3.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
3.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
3.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
3.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
3.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
3.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
3.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
3.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
3.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
3.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
3.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
3.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
3.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
3.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
2.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2.4
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.
QPRT 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
64.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
202.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
169.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
150.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
143.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
140.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
135.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
131.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
131.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
122.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
117.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
116.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
116.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
113.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
112.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
111.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
108.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
99.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
95.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
93.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
92.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
91.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
90.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
83.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
77.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
74.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
72.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
71.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
70.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
67.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
66.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
62.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
61.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
60.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
59.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
59.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
50.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
48.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
42.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
38.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
25.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
19.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
7.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
5.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
QPRT 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
39.2
Number of samples
207
Samples
Sample
Description
TPM
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
125.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
112.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
109.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
96.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
92.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
90.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
90.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
89.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
85.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
83.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
81.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
74.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
68.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
68.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
68.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
67.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
63.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
59.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
58.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
52.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
50.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
42.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
34.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
26.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
26.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
24.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
24.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
23.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
22.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
21.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
19.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
18.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
17.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
17.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
16.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
16.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
15.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
15.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
12.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
12.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
11.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
11.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
11.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
9.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
7.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
7.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
7.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
7.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
6.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
6.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
6.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
5.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
5.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
5.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
5.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
