We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SPTAN1 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
54.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
112.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
108.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
105.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
104.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
103.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
101.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
99.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
99.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
98.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
97.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
95.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
93.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
92.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
91.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
91.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
90.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
89.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
89.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
88.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
88.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
87.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
86.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
86.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
86.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
85.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
85.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
85.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
84.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
84.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
83.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
80.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
79.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
78.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
78.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
78.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
76.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
76.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
72.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
71.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
70.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
68.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
67.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
67.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
67.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
66.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
65.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
64.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
62.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
62.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
61.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
61.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
61.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
61.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
60.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
59.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
59.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
58.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
57.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
56.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
55.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
55.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
55.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
55.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
54.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
52.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
51.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
51.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
51.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
50.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
50.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
50.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
43.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
41.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
41.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
38.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
37.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
35.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
30.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
27.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
26.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
25.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
24.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
19.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
SPTAN1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
114.0
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
250.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
214.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
210.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
210.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
209.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
199.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
198.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
196.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
195.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
191.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
189.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
179.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
176.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
175.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
174.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
174.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
174.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
173.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
173.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
172.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
171.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
171.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
171.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
170.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
170.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
169.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
168.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
168.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
167.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
167.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
167.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
165.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
165.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
165.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
163.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
163.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
162.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
161.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
161.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
161.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
160.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
160.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
159.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
159.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
159.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
158.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
158.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
157.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
155.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
155.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
155.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
154.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
153.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
153.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
151.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
151.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
151.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
151.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
149.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
149.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
149.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
149.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
148.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
148.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
147.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
145.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
145.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
145.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
145.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
144.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
144.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
144.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
144.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
144.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
142.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
142.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
142.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
141.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
141.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
140.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
140.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
140.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
140.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
139.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
139.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
139.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
139.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
138.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
137.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
137.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
137.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
137.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
137.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
137.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
137.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
136.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
136.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
136.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
136.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
135.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
135.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
134.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
134.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
134.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
134.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
134.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
133.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
133.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
133.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
133.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
133.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
133.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
133.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
132.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
132.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
132.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
132.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
132.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
131.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
131.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
130.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
130.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
130.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
130.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
130.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
130.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
130.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
129.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
129.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
129.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
128.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
128.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
127.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
127.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
127.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
127.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
127.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
126.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
126.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
126.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
126.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
125.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
125.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
125.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
124.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
124.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
124.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
124.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
124.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
124.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
124.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
124.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
123.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
123.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
123.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
123.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
123.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
123.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
122.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
122.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
122.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
122.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
122.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
121.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
121.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
121.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
121.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
121.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
121.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
121.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
121.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
121.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
120.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
120.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
120.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
120.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
120.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
120.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
120.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
119.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
119.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
119.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
119.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
118.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
118.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
118.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
118.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
118.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
118.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
118.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
118.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
118.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
118.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
117.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
117.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
117.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
117.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
117.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
116.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
116.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
116.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
116.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
116.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
116.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
116.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
116.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
116.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
116.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
115.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
115.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
115.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
115.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
115.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
115.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
115.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
114.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
114.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
114.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
114.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
114.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
114.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
113.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
113.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
113.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
113.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
113.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
113.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
112.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
112.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
112.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
112.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
112.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
112.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
112.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
112.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
111.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
111.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
111.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
111.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
111.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
111.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
111.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
111.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
110.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
110.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
109.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
109.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
109.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
109.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
109.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
109.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
109.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
109.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
109.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
109.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
109.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
108.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
108.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
108.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
108.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
107.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
107.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
107.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
106.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
106.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
106.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
106.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
106.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
106.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
105.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
105.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
105.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
105.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
104.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
104.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
104.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
104.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
104.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
104.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
104.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
104.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
104.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
104.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
104.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
103.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
103.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
103.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
103.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
103.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
103.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
102.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
102.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
102.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
102.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
102.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
102.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
102.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
101.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
101.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
101.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
101.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
100.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
100.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
100.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
100.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
100.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
100.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
99.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
99.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
98.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
98.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
98.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
98.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
98.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
98.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
97.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
97.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
97.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
97.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
97.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
97.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
96.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
96.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
96.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
96.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
96.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
96.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
96.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
95.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
95.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
95.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
95.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
94.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
94.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
94.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
93.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
93.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
93.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
93.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
92.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
92.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
92.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
92.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
92.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
91.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
91.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
91.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
91.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
91.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
91.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
90.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
90.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
90.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
89.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
89.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
89.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
89.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
89.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
89.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
88.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
88.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
88.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
87.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
87.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
87.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
87.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
87.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
86.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
86.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
86.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
86.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
85.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
85.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
85.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
84.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
84.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
83.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
83.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
83.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
82.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
82.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
81.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
80.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
80.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
79.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
78.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
78.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
78.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
78.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
77.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
76.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
76.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
75.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
74.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
74.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
74.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
74.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
73.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
73.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
71.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
70.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
69.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
54.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
26.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.8
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.
SPTAN1 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
52.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
102.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
101.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
100.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
95.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
86.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
86.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
81.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
80.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
80.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
80.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
75.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
71.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
67.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
63.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
63.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
63.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
60.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
59.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
55.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
44.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
31.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
29.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPTAN1 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
107.0
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
224.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
203.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
194.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
184.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
177.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
166.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
165.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
163.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
160.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
160.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
159.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
158.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
158.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
156.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
151.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
150.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
147.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
146.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
144.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
143.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
143.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
142.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
142.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
141.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
140.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
138.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
137.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
137.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
137.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
135.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
133.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
133.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
132.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
132.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
132.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
132.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
131.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
130.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
130.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
130.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
130.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
128.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
128.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
128.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
127.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
126.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
126.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
125.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
125.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
123.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
123.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
122.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
121.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
121.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
120.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
119.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
119.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
119.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
118.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
117.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
117.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
116.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
116.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
116.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
116.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
115.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
115.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
114.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
114.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
114.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
114.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
114.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
114.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
113.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
113.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
113.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
113.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
112.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
112.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
111.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
111.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
111.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
111.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
110.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
110.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
110.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
110.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
109.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
109.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
109.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
109.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
108.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
108.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
108.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
108.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
107.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
105.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
105.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
104.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
104.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
104.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
104.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
103.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
103.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
103.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
103.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
103.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
103.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
102.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
101.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
101.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
99.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
99.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
99.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
97.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
97.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
96.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
95.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
95.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
95.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
94.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
93.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
93.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
93.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
93.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
92.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
92.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
92.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
91.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
91.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
90.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
90.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
90.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
90.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
89.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
89.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
89.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
89.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
88.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
88.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
87.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
86.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
86.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
86.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
85.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
84.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
82.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
82.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
82.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
81.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
81.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
81.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
80.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
80.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
79.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
79.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
79.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
79.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
76.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
75.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
75.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
75.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
73.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
72.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
72.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
71.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
71.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
70.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
69.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
68.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
68.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
67.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
66.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
65.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
64.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
56.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
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
