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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC38A1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
163.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
129.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
120.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
88.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
76.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
75.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
75.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
72.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
68.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
66.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
62.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
59.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
58.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
58.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
57.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
55.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
55.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
52.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
51.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
49.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
48.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
47.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
46.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
46.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
45.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
45.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
44.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
44.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
43.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
42.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
41.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
40.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
40.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
39.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
39.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
38.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
37.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
37.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
36.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
33.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
33.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
33.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
33.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
32.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
31.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
31.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
29.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
29.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
28.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
28.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
23.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
SLC38A1 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
114.1
Number of samples
486
Samples
Sample
Description
TPM
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
252.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
232.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
214.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
214.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
212.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
208.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
202.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
197.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
196.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
195.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
188.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
184.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
184.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
182.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
182.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
181.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
180.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
174.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
173.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
172.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
171.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
170.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
170.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
169.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
169.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
168.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
167.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
166.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
164.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
163.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
162.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
161.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
160.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
159.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
159.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
158.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
158.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
157.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
156.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
155.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
155.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
154.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
153.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
153.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
152.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
152.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
151.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
150.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
150.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
150.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
150.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
149.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
149.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
149.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
149.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
148.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
148.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
148.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
147.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
147.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
146.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
146.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
146.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
144.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
144.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
144.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
144.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
143.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
143.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
143.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
143.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
142.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
142.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
142.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
141.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
141.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
141.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
141.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
140.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
140.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
140.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
140.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
140.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
140.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
139.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
139.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
138.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
138.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
138.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
138.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
137.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
137.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
137.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
137.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
136.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
136.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
136.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
136.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
135.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
135.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
135.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
135.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
135.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
135.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
135.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
135.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
134.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
133.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
133.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
133.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
133.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
133.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
132.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
132.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
132.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
132.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
132.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
132.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
132.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
131.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
131.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
131.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
130.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
130.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
130.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
130.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
129.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
129.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
129.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
129.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
129.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
129.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
128.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
128.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
128.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
128.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
128.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
128.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
128.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
127.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
127.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
127.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
127.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
126.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
126.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
126.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
125.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
125.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
125.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
125.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
125.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
125.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
124.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
124.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
123.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
123.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
123.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
123.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
123.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
123.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
123.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
123.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
122.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
122.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
122.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
122.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
121.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
121.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
121.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
121.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
121.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
120.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
120.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
120.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
120.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
120.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
120.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
119.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
119.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
118.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
118.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
118.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
118.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
118.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
118.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
118.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
118.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
118.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
117.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
117.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
117.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
117.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
117.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
117.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
116.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
116.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
116.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
116.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
116.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
115.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
115.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
115.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
115.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
115.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
115.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
115.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
114.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
114.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
114.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
114.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
114.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
114.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
114.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
114.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
114.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
114.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
113.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
113.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
113.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
113.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
113.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
113.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
112.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
112.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
112.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
112.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
111.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
111.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
111.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
111.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
111.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
111.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
111.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
110.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
110.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
110.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
110.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
110.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
110.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
110.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
109.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
109.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
109.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
109.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
109.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
108.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
108.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
108.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
108.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
108.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
107.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
107.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
107.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
107.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
107.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
106.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
106.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
106.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
106.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
106.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
106.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
105.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
105.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
105.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
105.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
105.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
105.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
105.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
105.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
105.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
104.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
104.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
104.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
104.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
104.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
104.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
103.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
103.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
103.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
103.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
103.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
103.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
103.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
103.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
103.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
102.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
102.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
102.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
102.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
102.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
102.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
101.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
101.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
101.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
101.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
101.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
101.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
101.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
101.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
101.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
100.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
100.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
100.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
100.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
100.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
100.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
100.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
99.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
99.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
99.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
99.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
98.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
98.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
98.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
98.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
98.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
98.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
98.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
97.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
97.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
97.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
97.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
97.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
97.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
96.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
96.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
96.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
96.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
96.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
96.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
96.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
96.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
96.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
96.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
95.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
94.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
94.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
94.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
94.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
94.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
93.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
93.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
93.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
93.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
93.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
93.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
92.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
92.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
92.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
90.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
90.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
90.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
90.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
90.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
90.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
90.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
90.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
89.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
89.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
89.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
89.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
89.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
89.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
88.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
88.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
87.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
87.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
87.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
86.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
86.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
86.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
86.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
85.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
85.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
85.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
84.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
84.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
84.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
82.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
82.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
82.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
82.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
81.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
81.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
81.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
80.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
80.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
79.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
79.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
79.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
79.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
76.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
75.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
74.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
73.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
71.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
71.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
68.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
62.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
60.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
58.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
58.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC38A1 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
36.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
96.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
80.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
64.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
63.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
56.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
47.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
45.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
44.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
43.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
42.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
41.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
40.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
39.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
35.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
28.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
27.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
26.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
22.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SLC38A1 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
101.3
Number of samples
207
Samples
Sample
Description
TPM
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
211.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
185.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
181.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
178.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
173.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
165.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
164.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
164.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
158.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
155.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
151.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
150.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
148.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
148.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
146.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
142.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
137.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
136.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
136.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
131.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
131.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
130.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
130.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
129.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
128.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
127.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
126.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
126.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
126.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
125.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
125.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
125.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
124.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
124.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
124.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
123.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
122.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
122.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
122.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
121.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
121.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
121.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
120.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
119.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
119.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
119.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
119.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
119.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
118.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
118.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
117.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
117.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
115.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
115.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
115.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
114.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
114.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
113.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
113.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
113.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
112.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
112.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
112.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
112.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
112.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
111.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
111.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
110.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
110.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
110.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
110.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
108.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
108.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
108.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
107.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
107.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
105.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
105.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
105.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
105.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
104.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
104.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
103.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
103.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
102.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
101.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
100.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
100.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
100.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
100.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
100.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
99.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
99.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
98.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
98.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
97.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
96.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
95.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
95.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
95.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
94.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
94.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
94.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
94.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
93.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
93.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
93.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
92.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
90.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
90.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
90.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
89.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
89.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
89.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
88.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
88.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
87.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
87.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
87.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
86.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
86.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
85.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
83.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
82.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
81.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
81.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
80.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
80.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
80.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
79.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
78.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
78.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
76.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
75.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
74.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
74.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
73.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
72.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
72.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
70.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
68.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
67.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
66.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
65.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
64.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
59.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
1.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.