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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.
SIPA1L1 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
10.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
24.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
18.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
17.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
16.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
15.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
15.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
14.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
14.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
13.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
12.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
12.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
11.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
11.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
11.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
10.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
9.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
9.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
9.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
9.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
9.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
8.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
8.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
8.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
8.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
7.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
6.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
6.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
6.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
5.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
5.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
4.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 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.
SIPA1L1 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
34.6
Number of samples
486
Samples
Sample
Description
TPM
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
56.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
51.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
49.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
43.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
43.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
40.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
38.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
38.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
37.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
37.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
37.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
36.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
36.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
36.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
35.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
34.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
34.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
33.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
33.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
33.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
32.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
32.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
32.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
32.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
31.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
31.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
31.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
31.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
31.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
31.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
30.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
30.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
30.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
29.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
29.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
29.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
29.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
28.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
28.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
28.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
28.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
27.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
27.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
27.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
27.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
26.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
26.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
26.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
25.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
25.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
25.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
25.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
25.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
25.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
24.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
24.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
24.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
24.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
24.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
23.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
23.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
23.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
22.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
22.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
22.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
21.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
21.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
21.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
21.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
21.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
20.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
20.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
20.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
20.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
19.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
19.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
19.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
18.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
17.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
15.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
14.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
13.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
SIPA1L1 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
10.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
19.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
13.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
11.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
9.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
8.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
8.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
7.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
7.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
7.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
7.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
5.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SIPA1L1 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
30.4
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
39.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
34.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
34.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
33.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
31.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
28.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
28.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
28.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
28.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
27.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
26.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
25.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
24.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
24.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
24.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
24.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
24.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
24.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
23.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
22.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
21.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
21.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
21.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
20.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
19.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
19.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
19.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
17.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
16.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
16.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
15.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
15.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
14.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
13.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-2.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-2.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-2.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-2.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
