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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.
SNX5 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
42.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
155.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
112.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
107.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
102.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
95.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
92.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
86.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
84.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
83.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
80.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
75.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
72.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
72.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
72.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
71.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
70.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
69.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
67.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
67.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
66.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
66.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
65.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
65.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
65.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
63.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
62.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
61.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
60.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
60.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
59.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
55.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
54.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
53.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
53.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
52.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
50.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
48.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
47.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
46.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
45.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
44.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
44.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
41.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
40.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
40.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
40.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
37.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
36.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
35.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
32.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
31.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
30.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
30.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
30.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
29.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
28.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
28.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
23.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
23.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
20.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
20.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
19.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
19.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
SNX5 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
77.9
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
186.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
172.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
172.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
164.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
164.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
159.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
158.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
158.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
154.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
152.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
152.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
151.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
150.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
148.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
143.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
143.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
143.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
142.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
140.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
139.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
137.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
132.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
132.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
130.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
130.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
130.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
130.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
127.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
127.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
126.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
126.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
125.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
123.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
123.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
122.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
120.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
120.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
119.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
118.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
118.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
118.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
117.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
117.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
117.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
116.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
116.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
116.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
114.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
114.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
112.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
112.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
112.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
112.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
112.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
111.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
111.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
111.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
111.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
110.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
110.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
109.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
109.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
109.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
108.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
108.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
108.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
106.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
106.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
106.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
106.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
106.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
106.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
105.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
105.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
105.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
104.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
104.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
104.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
103.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
103.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
102.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
102.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
101.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
101.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
101.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
101.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
100.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
100.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
100.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
100.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
99.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
99.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
98.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
97.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
96.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
96.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
96.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
96.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
95.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
95.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
95.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
95.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
94.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
94.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
94.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
94.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
94.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
94.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
93.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
93.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
93.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
93.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
92.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
92.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
92.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
92.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
91.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
91.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
91.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
91.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
91.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
90.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
90.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
89.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
89.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
89.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
89.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
88.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
88.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
88.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
88.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
88.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
87.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
86.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
86.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
85.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
85.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
85.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
85.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
84.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
84.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
84.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
83.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
83.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
83.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
83.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
82.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
82.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
82.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
81.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
81.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
80.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
80.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
80.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
80.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
80.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
80.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
79.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
79.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
79.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
78.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
78.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
77.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
77.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
76.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
76.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
76.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
76.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
75.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
75.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
74.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
73.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
73.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
73.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
73.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
73.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
73.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
72.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
71.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
70.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
69.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
69.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
69.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
69.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
69.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
67.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
66.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
65.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
65.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
64.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
64.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
63.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
62.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
61.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
61.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
60.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
59.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
58.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
52.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
52.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
49.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
46.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
45.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
43.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
39.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
33.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
31.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
SNX5 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
43.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
196.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
148.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
125.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
93.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
85.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
80.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
73.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
68.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
63.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
63.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
60.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
59.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
55.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
55.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
55.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
54.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
52.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
50.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
24.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
23.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SNX5 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
72.8
Number of samples
207
Samples
Sample
Description
TPM
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
156.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
139.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
133.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
123.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
122.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
120.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
120.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
119.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
117.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
116.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
115.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
113.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
112.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
110.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
110.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
110.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
108.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
108.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
107.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
106.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
106.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
106.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
106.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
105.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
105.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
103.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
102.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
102.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
102.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
102.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
101.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
99.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
98.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
98.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
97.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
96.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
94.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
94.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
93.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
93.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
92.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
92.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
91.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
90.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
90.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
89.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
89.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
88.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
88.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
88.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
87.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
87.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
85.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
85.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
85.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
83.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
83.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
81.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
80.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
80.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
79.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
79.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
78.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
77.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
76.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
76.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
75.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
73.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
72.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
72.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
70.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
70.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
70.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
70.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
70.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
70.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
68.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
68.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
67.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
65.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
64.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
64.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
63.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
63.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
61.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
60.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
52.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
50.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
49.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
48.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
46.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
46.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
41.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
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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Normal
-0.1
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Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
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Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
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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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
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Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
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Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
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
