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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.
SNX12 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
44.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
127.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
93.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
86.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
80.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
77.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
75.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
74.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
74.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
73.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
72.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
72.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
70.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
69.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
66.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
66.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
66.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
60.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
59.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
58.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
56.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
56.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
55.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
54.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
53.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
53.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
53.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
52.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
51.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
51.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
51.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
50.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
49.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
49.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
48.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
47.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
43.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
43.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
41.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
39.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
38.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
38.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
37.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
34.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
33.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
32.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
31.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
31.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
31.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
31.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
30.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
29.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
26.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
24.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SNX12 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
40.1
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
125.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
111.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
86.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
80.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
79.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
79.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
77.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
77.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
76.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
75.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
70.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
63.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
61.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
61.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
56.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
54.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
47.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
46.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
44.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
43.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
43.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
42.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
40.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
37.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
37.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
37.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
36.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
36.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
35.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
35.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
34.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
34.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
33.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
33.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
32.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
32.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
32.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
31.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
31.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
31.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
30.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
29.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
29.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
29.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
29.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
29.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
29.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
29.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
28.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
28.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
28.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
27.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
27.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
27.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
26.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
25.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
25.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
24.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
23.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
23.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
23.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
22.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
21.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
21.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
20.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
15.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SNX12 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
47.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
136.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
87.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
83.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
79.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
73.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
71.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
68.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
65.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
64.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
63.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
61.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
57.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
52.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
51.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
48.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
46.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
43.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
41.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
39.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
38.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
37.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
37.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
33.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SNX12 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
38.7
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
113.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
112.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
61.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
57.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
55.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
54.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
40.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
38.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
31.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
30.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
29.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
23.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
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Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
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Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
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Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
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Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
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
