We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SLC44A1 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
26.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
55.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
50.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
45.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
44.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
40.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
40.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
38.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
37.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
37.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
36.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
35.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
35.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
34.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
31.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
29.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
26.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
25.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
24.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
23.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
23.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
22.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
22.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
22.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
20.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
20.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
20.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
20.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
18.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
16.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
15.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
13.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
10.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 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.
SLC44A1 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
59.1
Number of samples
486
Samples
Sample
Description
TPM
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
122.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
108.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
103.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
103.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
102.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
102.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
99.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
99.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
91.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
91.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
90.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
89.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
88.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
88.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
87.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
86.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
86.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
86.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
86.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
85.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
85.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
85.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
83.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
83.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
83.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
82.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
82.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
80.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
80.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
80.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
80.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
80.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
79.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
78.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
77.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
76.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
76.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
76.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
76.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
75.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
75.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
75.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
75.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
74.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
73.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
73.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
72.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
72.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
72.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
70.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
70.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
70.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
70.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
69.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
68.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
67.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
66.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
66.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
66.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
64.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
64.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
64.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
64.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
63.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
63.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
63.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
63.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
63.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
62.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
62.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
61.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
61.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
61.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
60.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
60.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
59.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
58.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
58.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
58.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
58.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
57.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
57.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
57.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
57.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
56.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
56.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
54.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
54.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
53.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
52.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
52.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
51.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
50.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
46.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
42.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
42.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
40.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
39.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
39.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
30.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC44A1 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
29.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
47.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
44.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
36.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
31.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
29.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
28.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
26.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
24.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
22.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
21.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
19.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
18.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC44A1 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
52.8
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
109.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
98.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
98.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
96.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
92.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
86.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
86.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
84.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
80.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
78.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
75.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
73.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
66.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
64.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
64.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
63.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
60.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
59.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
57.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
56.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
54.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
54.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
52.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
50.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
43.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
