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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.
SLC9A3 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
19.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
191.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
173.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
154.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
101.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
84.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
84.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
82.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
82.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
76.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
67.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
64.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
58.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
55.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
51.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
43.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
42.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
39.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
31.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
30.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
27.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
23.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
23.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
22.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
22.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
21.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
21.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
14.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
14.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
14.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
13.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
12.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
11.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
10.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
9.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
9.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
8.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
8.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
8.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
7.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
6.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
6.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
6.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
6.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
5.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
5.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
5.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
5.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
5.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
4.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
4.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
4.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
4.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
3.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
3.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
3.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
3.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
3.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
3.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
3.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 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.
SLC9A3 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
38.4
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
409.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
278.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
222.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
202.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
194.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
183.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
168.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
163.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
151.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
144.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
144.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
143.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
140.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
140.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
137.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
133.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
130.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
128.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
127.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
127.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
126.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
126.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
126.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
123.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
123.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
121.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
118.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
115.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
114.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
114.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
111.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
111.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
110.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
108.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
106.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
100.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
95.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
95.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
94.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
94.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
93.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
92.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
88.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
86.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
84.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
84.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
84.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
82.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
81.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
80.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
75.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
74.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
74.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
72.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
72.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
71.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
68.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
66.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
65.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
61.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
58.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
55.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
49.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
47.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
43.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
39.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
36.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
35.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
33.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
32.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
29.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
28.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
28.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
27.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
27.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
26.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
26.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
26.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
25.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
25.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
25.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
24.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
24.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
24.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
23.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
23.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
23.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
23.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
23.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
23.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
23.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
22.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
22.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
21.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
21.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
21.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
20.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
20.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
20.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
20.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
20.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
20.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
19.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
19.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
19.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
19.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
18.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
18.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
18.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
18.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
18.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
18.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
18.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
18.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
17.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
17.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
17.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
17.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
16.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
16.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
16.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
16.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
16.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
16.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
15.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
15.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
15.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
15.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
15.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
15.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
15.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
15.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
15.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
15.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
15.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
14.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
14.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
14.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
14.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
14.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
13.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
13.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
13.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
13.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
13.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
13.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
13.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
13.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
13.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
13.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
13.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
13.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
13.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
13.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
13.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
13.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
12.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
12.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
12.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
12.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
12.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
12.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
12.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
12.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
12.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
12.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
12.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
12.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
12.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
12.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
11.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
11.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
11.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
11.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
11.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
11.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
11.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
10.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
10.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
10.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
10.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
10.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
10.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
10.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
10.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
10.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
10.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
10.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
10.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
9.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
9.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
9.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
9.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
9.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
9.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
9.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
9.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
9.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
9.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
9.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
9.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
8.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
8.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
8.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
8.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
8.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
8.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
8.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
8.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
8.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
8.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
7.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
7.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
7.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
7.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
7.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
7.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
7.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
7.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
7.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
7.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
6.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
6.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
6.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
6.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
6.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
6.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
6.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
6.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
6.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
6.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
6.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
6.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
5.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
5.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
5.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
5.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
5.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
5.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
5.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
5.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
5.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
5.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
5.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
5.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
5.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
5.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
4.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
4.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
4.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
4.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
4.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
4.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
4.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
4.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
4.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
3.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
3.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
3.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
3.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
3.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
2.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
2.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
2.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
0.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
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.
SLC9A3 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
15.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
47.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
34.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
29.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
27.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
25.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
24.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
24.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
12.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
11.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
10.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
10.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
9.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
7.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
6.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
6.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
6.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
5.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
5.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
4.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
4.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 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.
SLC9A3 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
33.3
Number of samples
207
Samples
Sample
Description
TPM
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
655.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
271.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
223.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
204.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
173.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
141.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
120.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
103.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
98.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
95.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
85.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
83.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
69.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
62.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
62.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
60.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
47.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
46.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
32.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
30.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
29.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
28.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
28.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
27.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
27.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
26.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
24.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
24.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
23.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
21.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
21.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
20.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
20.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
20.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
20.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
19.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
18.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
17.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
17.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
17.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
17.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
17.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
16.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
15.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
15.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
15.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
15.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
15.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
15.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
14.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
14.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
13.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
13.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
13.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
13.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
13.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
13.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
12.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
12.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
11.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
11.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
11.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
10.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
10.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
10.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
10.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
10.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
10.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
10.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
10.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
9.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
9.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
9.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
9.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
9.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
9.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
9.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
9.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
9.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
9.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
8.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
8.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
8.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
8.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
7.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
7.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
7.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
7.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
7.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
7.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
7.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
6.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
6.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
6.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
6.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
6.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
5.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
5.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
5.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
5.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
5.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
4.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
4.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
4.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
3.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
2.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
1.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
1.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
1.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
1.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-1.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
