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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.
SLC44A4 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
39.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
233.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
198.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
198.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
195.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
188.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
180.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
174.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
164.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
155.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
155.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
153.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
150.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
149.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
142.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
142.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
130.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
129.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
123.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
122.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
117.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
116.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
113.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
112.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
109.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
106.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
103.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
101.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
99.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
96.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
96.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
93.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
90.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
83.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
80.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
79.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
79.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
76.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
76.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
76.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
75.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
74.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
65.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
65.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
64.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
62.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
61.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
56.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
56.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
56.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
55.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
55.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
48.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
44.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
41.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
41.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
38.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
29.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
27.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
21.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
18.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
16.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
14.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
10.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
6.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
5.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
4.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
2.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
0.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
0.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
0.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
0.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
0.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
0.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
0.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
0.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
0.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
0.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
0.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
0.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
0.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
0.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
0.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
0.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
0.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
0.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
0.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
0.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
0.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
0.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
0.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
0.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
0.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
0.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
0.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
SLC44A4 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
43.5
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
264.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
253.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
202.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
200.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
189.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
179.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
171.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
162.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
159.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
152.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
146.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
146.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
145.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
144.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
140.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
139.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
138.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
132.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
131.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
125.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
124.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
123.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
122.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
122.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
116.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
116.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
115.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
112.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
112.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
111.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
111.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
107.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
107.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
106.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
106.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
104.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
104.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
103.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
103.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
103.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
102.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
100.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
99.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
98.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
98.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
97.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
97.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
96.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
95.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
95.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
95.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
94.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
93.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
92.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
91.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
91.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
89.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
88.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
86.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
86.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
84.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
83.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
79.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
78.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
78.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
78.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
76.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
75.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
75.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
74.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
72.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
70.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
68.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
68.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
67.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
63.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
62.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
61.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
60.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
57.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
53.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
53.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
52.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
51.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
50.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
50.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
49.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
37.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
36.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
36.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
34.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
29.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
27.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
26.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
24.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
23.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
23.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
22.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
22.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
22.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
22.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
21.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
21.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
21.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
19.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
18.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
18.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
17.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
17.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
16.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
16.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
16.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
15.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
15.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
14.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
12.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
11.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
11.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
9.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
9.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
9.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
8.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
8.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
8.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
8.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
8.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
7.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
6.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
6.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
6.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
6.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
6.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
5.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
5.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
5.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
5.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
5.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
4.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
4.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
4.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
4.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
4.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
4.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
3.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
3.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
3.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
3.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
3.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
3.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
3.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
3.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
2.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
2.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
2.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
2.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
2.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
2.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
2.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
2.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
0.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
0.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
0.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
0.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
0.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
0.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
0.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
0.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
0.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
0.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
0.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
0.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
0.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
0.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
0.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
0.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
0.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
0.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
0.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
0.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
0.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
0.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
0.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
0.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
0.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
0.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
0.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
0.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
0.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
0.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
0.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
0.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
0.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
0.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
0.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
0.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
0.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
0.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
0.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
0.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
0.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
0.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
0.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
0.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
0.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
0.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
0.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
0.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
0.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
0.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
0.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
0.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
0.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
0.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
0.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
0.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
0.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
0.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
0.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
0.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
0.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
0.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
0.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
0.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
0.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
0.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
0.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
0.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 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.
SLC44A4 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
39.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
286.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
199.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
175.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
154.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
143.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
129.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
129.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
102.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
96.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
92.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
91.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
89.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
86.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
74.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
68.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
56.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
48.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
31.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
26.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
25.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
24.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
12.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
10.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
6.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
6.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
4.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
2.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
0.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
0.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
0.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 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.
SLC44A4 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
38.8
Number of samples
207
Samples
Sample
Description
TPM
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
159.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
158.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
143.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
137.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
131.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
115.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
112.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
107.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
105.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
96.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
93.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
93.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
92.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
89.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
89.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
88.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
85.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
85.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
84.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
77.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
77.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
76.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
75.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
74.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
72.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
72.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
72.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
71.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
70.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
70.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
68.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
66.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
61.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
60.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
47.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
46.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
36.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
31.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
30.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
30.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
30.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
26.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
22.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
17.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
16.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
16.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
16.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
16.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
14.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
13.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
12.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
11.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
8.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
7.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
7.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
6.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
6.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
6.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
5.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
4.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
4.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
4.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
4.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
4.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
3.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
3.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
3.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
3.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
3.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
3.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
2.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
2.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
2.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
2.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
0.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
0.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
0.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
0.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
0.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
0.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
0.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
0.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
0.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
0.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
0.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
0.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
0.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
0.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
0.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
0.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
0.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
0.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
0.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
0.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
0.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
0.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
0.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
0.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
0.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
0.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
0.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
0.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
0.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
0.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
0.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
0.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-2.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
