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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.
SPARCL1 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
38.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
507.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
300.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
232.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
215.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
139.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
138.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
137.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
136.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
135.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
132.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
130.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
129.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
125.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
124.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
122.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
115.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
115.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
114.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
109.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
102.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
101.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
101.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
98.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
95.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
95.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
95.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
94.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
93.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
79.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
76.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
72.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
58.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
52.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
52.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
50.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
47.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
46.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
44.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
42.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
37.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
36.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
35.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
35.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
32.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
31.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
29.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
25.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
23.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
23.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
22.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
19.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
19.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
17.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
15.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
12.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 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.
SPARCL1 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
61.7
Number of samples
486
Samples
Sample
Description
TPM
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
325.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
296.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
296.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
245.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
222.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
220.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
206.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
206.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
199.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
199.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
198.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
198.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
195.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
195.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
191.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
177.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
177.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
172.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
171.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
171.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
168.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
162.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
158.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
158.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
155.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
155.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
154.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
152.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
148.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
147.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
145.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
144.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
141.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
140.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
140.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
140.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
139.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
137.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
137.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
131.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
130.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
129.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
129.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
128.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
128.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
125.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
124.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
123.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
122.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
121.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
120.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
120.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
117.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
115.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
115.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
114.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
114.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
113.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
112.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
111.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
111.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
110.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
110.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
109.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
108.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
107.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
107.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
106.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
106.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
104.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
103.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
102.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
102.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
102.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
102.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
102.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
101.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
101.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
99.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
99.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
99.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
97.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
96.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
93.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
93.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
92.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
92.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
90.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
88.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
88.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
86.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
86.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
86.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
86.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
84.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
82.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
81.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
80.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
79.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
78.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
77.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
77.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
74.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
74.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
73.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
72.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
72.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
72.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
70.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
70.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
68.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
67.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
66.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
66.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
62.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
61.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
60.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
60.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
59.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
56.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
55.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
48.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
47.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
46.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
42.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
41.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
36.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
36.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
36.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
34.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
33.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
33.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
30.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
30.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
30.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
29.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
29.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
29.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
28.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
28.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
27.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
26.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
26.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
26.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
26.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
26.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
25.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
25.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
24.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
24.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
23.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
23.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
23.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
23.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
23.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
22.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
22.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
21.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
21.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
21.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
20.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
20.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
20.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
20.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
20.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
20.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
19.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
19.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
19.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
18.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
18.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
18.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
18.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
18.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
18.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
18.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
18.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
17.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
17.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
17.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
17.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
16.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
16.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
16.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
15.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
15.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
15.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
14.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
14.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
13.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
13.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
13.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
12.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
12.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
12.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
12.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
12.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
9.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
9.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
8.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
7.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPARCL1 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
41.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
246.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
193.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
153.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
149.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
146.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
136.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
113.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
104.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
103.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
95.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
91.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
76.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
49.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
47.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
44.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
44.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
43.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
35.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
33.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
29.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
28.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
23.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
21.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
18.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
15.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
14.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
9.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SPARCL1 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
61.9
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
324.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
296.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
289.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
285.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
272.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
235.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
232.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
204.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
195.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
184.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
177.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
162.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
160.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
159.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
154.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
152.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
152.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
151.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
137.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
136.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
131.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
126.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
125.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
125.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
124.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
124.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
107.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
106.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
103.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
102.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
101.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
99.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
99.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
93.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
88.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
87.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
87.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
85.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
83.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
81.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
81.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
80.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
78.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
73.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
72.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
72.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
68.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
66.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
62.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
61.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
56.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
56.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
53.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
50.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
46.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
32.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
25.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
24.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
24.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
23.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
23.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
23.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
21.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
21.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
20.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
20.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
19.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
19.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
18.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
18.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
18.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
18.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
17.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
17.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
17.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
16.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
14.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
14.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
10.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
8.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
7.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
2.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
