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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.
SLC9A3R2 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
56.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
148.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
133.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
129.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
127.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
127.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
122.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
122.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
121.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
117.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
107.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
107.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
105.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
105.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
98.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
98.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
95.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
94.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
94.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
94.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
93.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
92.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
91.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
90.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
87.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
87.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
85.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
82.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
81.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
79.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
79.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
79.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
79.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
77.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
76.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
76.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
76.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
75.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
72.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
72.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
72.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
69.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
68.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
67.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
66.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
66.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
66.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
65.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
65.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
64.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
64.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
64.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
63.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
63.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
62.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
61.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
61.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
60.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
59.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
58.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
56.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
55.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
53.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
53.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
52.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
51.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
49.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
48.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
47.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
46.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
45.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
44.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
41.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
41.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
40.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
40.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
39.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
36.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
35.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
35.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
31.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
31.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
29.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
27.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
24.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
18.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
5.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
SLC9A3R2 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
39.2
Number of samples
486
Samples
Sample
Description
TPM
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
137.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
94.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
88.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
87.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
83.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
78.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
77.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
77.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
75.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
73.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
72.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
69.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
69.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
68.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
67.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
64.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
63.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
60.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
53.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
44.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
39.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
39.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
38.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
37.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
37.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
33.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
33.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
32.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
31.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
30.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
30.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
30.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
30.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
30.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
29.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
29.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
28.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
28.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
28.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
27.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
27.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
26.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
26.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
26.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
26.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
26.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
25.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
25.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
25.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
24.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
24.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
24.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
23.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
22.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
21.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
21.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
21.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
20.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
20.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
19.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
19.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
19.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
18.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
17.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
17.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
17.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
17.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
16.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
16.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
16.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
15.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
14.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
13.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
12.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC9A3R2 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
53.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
141.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
136.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
109.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
100.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
92.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
91.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
91.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
91.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
85.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
84.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
78.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
77.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
72.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
70.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
69.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
68.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
66.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
60.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
59.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
59.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
58.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
57.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
54.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
54.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
52.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
51.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
48.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
47.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
46.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
46.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
45.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
42.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
40.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
40.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
39.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
19.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
SLC9A3R2 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
38.1
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
94.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
78.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
62.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
59.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
58.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
58.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
57.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
56.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
53.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
52.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
41.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
40.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
35.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
29.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
29.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
28.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
27.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
25.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
25.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
23.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
23.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
19.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
19.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
15.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
14.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
13.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.6
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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
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
