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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.
CLCA1 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
133.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11806.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2006.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1253.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
866.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
853.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
789.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
774.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
756.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
667.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
667.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
585.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
552.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
496.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
474.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
468.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
463.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
447.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
439.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
434.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
414.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
404.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
344.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
333.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
324.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
323.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
317.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
299.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
266.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
256.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
235.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
209.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
201.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
200.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
182.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
174.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
165.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
163.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
150.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
150.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
143.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
140.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
138.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
137.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
130.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
128.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
125.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
117.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
115.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
100.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
98.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
89.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
85.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
79.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
75.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
74.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
69.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
63.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
60.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
32.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
29.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
27.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
14.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
14.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
8.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
8.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
7.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
6.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
6.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
5.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
4.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
0.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
0.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
0.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
0.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
0.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
0.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
0.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
0.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
0.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
0.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
0.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
0.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
0.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
0.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
0.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
0.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
0.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 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.
CLCA1 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
453.1
Number of samples
486
Samples
Sample
Description
TPM
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
11677.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
6347.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
4920.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
4654.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
4222.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
3948.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
3518.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
3374.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
3162.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2872.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2830.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2358.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
2334.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
2272.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
2248.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
2170.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2030.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1998.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1946.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1929.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1900.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1815.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1780.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1737.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1663.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1638.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1612.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1592.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1587.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1553.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1540.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1519.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1469.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1453.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1385.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1377.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1369.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1345.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1326.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1317.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1294.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1290.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1253.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1251.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1250.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1237.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1186.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1175.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1155.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1111.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1097.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
1093.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1081.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1079.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1064.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1055.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1051.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1046.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1040.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1008.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
992.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
982.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
960.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
952.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
938.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
927.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
920.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
917.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
914.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
879.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
879.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
868.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
861.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
855.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
847.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
842.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
840.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
838.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
836.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
831.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
815.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
807.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
807.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
797.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
793.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
784.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
780.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
776.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
770.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
766.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
763.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
748.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
746.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
732.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
718.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
717.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
717.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
695.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
694.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
687.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
684.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
683.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
667.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
666.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
662.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
661.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
660.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
660.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
648.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
646.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
645.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
642.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
638.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
620.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
620.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
613.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
609.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
580.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
564.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
561.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
557.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
556.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
554.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
548.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
544.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
540.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
536.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
529.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
513.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
512.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
511.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
509.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
505.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
502.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
498.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
496.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
480.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
478.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
461.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
458.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
454.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
448.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
446.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
445.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
436.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
430.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
413.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
410.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
406.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
404.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
404.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
401.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
399.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
398.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
398.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
396.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
391.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
385.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
384.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
384.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
380.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
379.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
373.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
371.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
366.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
363.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
355.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
355.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
349.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
348.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
348.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
347.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
345.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
334.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
326.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
319.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
318.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
315.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
300.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
295.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
289.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
287.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
286.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
279.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
277.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
277.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
275.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
273.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
272.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
272.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
270.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
268.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
267.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
266.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
261.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
261.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
258.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
255.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
248.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
247.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
246.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
246.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
246.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
246.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
244.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
244.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
243.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
238.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
232.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
231.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
231.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
229.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
229.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
225.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
222.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
220.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
215.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
214.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
212.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
208.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
207.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
207.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
203.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
203.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
199.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
198.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
198.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
196.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
196.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
188.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
186.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
185.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
183.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
181.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
180.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
180.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
179.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
179.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
176.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
176.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
176.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
168.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
166.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
161.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
159.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
157.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
157.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
155.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
153.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
152.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
151.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
150.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
148.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
147.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
147.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
143.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
142.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
141.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
141.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
137.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
133.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
130.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
129.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
125.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
124.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
120.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
120.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
119.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
119.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
116.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
115.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
110.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
110.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
109.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
109.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
108.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
104.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
103.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
102.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
102.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
102.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
102.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
99.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
99.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
97.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
91.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
89.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
86.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
85.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
84.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
83.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
80.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
79.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
79.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
69.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
68.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
63.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
53.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
45.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
33.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
24.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
23.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
22.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
21.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
20.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
19.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
18.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
18.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
16.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
16.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
16.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
16.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
14.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
13.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
12.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
12.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
9.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
8.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
8.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
7.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
7.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
7.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
7.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
6.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
6.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
5.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
5.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
5.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
5.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
4.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
4.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
3.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
3.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
3.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
3.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
2.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
2.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
2.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
2.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
0.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
0.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
0.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
0.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
0.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
0.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
0.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
0.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
0.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
0.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
0.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
0.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
0.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
0.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
0.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
0.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
0.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
0.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
0.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
0.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
0.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
0.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
0.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
0.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
0.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
0.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
0.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
0.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
0.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
0.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 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.
CLCA1 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
54.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1114.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
628.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
581.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
373.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
348.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
331.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
247.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
196.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
125.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
107.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
80.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
22.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
22.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
5.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
3.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
0.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
0.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
0.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
0.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
0.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
0.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
0.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
0.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
0.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CLCA1 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
219.4
Number of samples
207
Samples
Sample
Description
TPM
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2450.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
2259.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1875.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1806.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1575.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1571.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1189.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1102.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1065.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1034.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
985.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
894.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
891.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
875.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
842.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
798.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
725.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
704.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
680.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
633.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
594.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
555.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
525.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
524.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
516.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
482.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
473.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
441.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
423.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
409.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
391.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
376.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
370.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
352.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
352.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
348.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
345.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
336.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
334.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
330.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
329.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
323.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
316.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
309.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
307.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
301.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
292.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
282.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
281.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
279.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
278.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
275.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
267.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
266.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
264.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
259.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
248.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
236.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
224.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
223.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
214.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
197.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
192.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
183.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
179.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
175.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
170.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
165.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
164.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
164.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
158.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
157.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
149.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
147.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
140.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
136.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
133.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
129.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
126.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
124.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
124.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
121.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
121.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
117.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
106.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
104.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
103.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
102.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
97.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
96.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
95.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
94.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
90.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
83.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
83.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
79.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
77.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
72.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
71.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
68.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
67.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
66.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
21.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
16.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
16.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
16.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
14.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
12.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
12.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
11.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
11.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
10.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
10.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
9.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
9.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
8.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
7.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
6.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
6.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
5.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
4.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
4.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
4.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
4.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
4.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
2.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
2.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
2.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
2.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
2.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
1.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
1.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
0.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
0.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
0.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
0.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
0.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
0.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
0.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
0.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
0.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
0.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
0.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
1.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
1.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
1.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
1.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.9
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.9
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-1.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.8
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-2.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-2.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-2.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-2.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-2.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-2.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-2.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-2.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-2.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-2.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-2.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-2.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-2.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-2.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-2.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-2.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-2.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-2.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-2.9
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
