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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPTBN1 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
64.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
230.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
227.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
221.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
218.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
175.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
169.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
162.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
158.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
141.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
138.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
132.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
129.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
127.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
127.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
126.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
125.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
123.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
121.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
119.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
118.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
117.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
115.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
115.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
112.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
111.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
110.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
110.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
110.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
109.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
109.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
108.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
105.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
104.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
104.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
100.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
99.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
98.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
97.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
97.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
97.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
96.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
94.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
93.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
90.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
90.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
89.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
89.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
85.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
84.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
83.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
82.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
80.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
80.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
78.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
77.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
76.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
76.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
76.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
75.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
74.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
73.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
72.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
70.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
69.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
69.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
68.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
68.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
67.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
66.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
66.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
65.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
65.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
65.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
65.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
64.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
64.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
64.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
60.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
59.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
59.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
57.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
56.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
56.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
55.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
55.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
55.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
54.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
52.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
52.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
52.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
51.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
51.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
51.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
49.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
45.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
43.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
39.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
36.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
36.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
36.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
35.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
34.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
31.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
30.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
30.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
30.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
27.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
26.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
22.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
19.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
16.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.1
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.
SPTBN1 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
224.7
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
496.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
466.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
464.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
450.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
443.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
439.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
439.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
438.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
437.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
421.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
417.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
414.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
411.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
408.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
403.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
394.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
392.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
389.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
383.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
380.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
379.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
378.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
375.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
373.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
373.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
368.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
364.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
364.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
362.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
362.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
360.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
356.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
356.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
354.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
354.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
352.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
345.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
345.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
341.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
340.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
340.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
338.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
335.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
332.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
330.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
329.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
327.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
327.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
326.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
326.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
326.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
324.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
324.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
322.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
320.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
320.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
319.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
319.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
316.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
315.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
314.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
313.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
313.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
312.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
310.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
308.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
307.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
306.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
305.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
304.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
304.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
303.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
303.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
302.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
302.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
301.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
301.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
300.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
300.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
299.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
299.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
298.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
295.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
294.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
293.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
292.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
291.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
291.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
290.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
289.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
288.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
287.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
285.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
285.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
283.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
282.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
282.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
281.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
281.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
280.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
279.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
279.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
279.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
278.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
277.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
276.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
276.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
274.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
273.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
273.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
273.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
272.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
272.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
271.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
269.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
268.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
268.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
268.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
268.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
267.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
267.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
265.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
264.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
264.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
263.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
262.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
261.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
260.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
259.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
259.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
259.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
258.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
257.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
257.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
255.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
255.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
254.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
254.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
254.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
252.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
251.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
251.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
250.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
249.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
249.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
249.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
248.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
248.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
247.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
247.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
246.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
246.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
246.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
246.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
246.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
246.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
245.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
245.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
243.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
243.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
243.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
242.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
242.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
242.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
241.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
240.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
240.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
240.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
240.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
239.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
239.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
239.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
239.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
237.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
237.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
236.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
236.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
235.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
235.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
233.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
233.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
232.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
231.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
230.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
230.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
230.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
229.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
228.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
228.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
228.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
228.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
227.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
227.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
227.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
225.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
225.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
224.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
224.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
223.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
223.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
223.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
222.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
222.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
222.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
221.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
221.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
221.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
221.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
221.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
221.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
221.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
220.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
220.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
219.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
219.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
217.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
216.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
216.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
216.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
215.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
215.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
215.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
215.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
214.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
214.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
213.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
212.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
212.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
211.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
211.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
210.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
210.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
210.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
209.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
209.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
209.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
209.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
208.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
208.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
207.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
207.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
206.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
206.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
206.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
206.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
206.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
205.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
205.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
205.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
204.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
204.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
204.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
203.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
203.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
203.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
202.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
202.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
202.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
202.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
201.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
201.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
201.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
201.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
201.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
201.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
200.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
200.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
200.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
200.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
199.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
199.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
199.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
198.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
198.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
198.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
198.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
198.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
197.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
196.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
196.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
196.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
195.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
195.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
195.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
195.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
195.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
195.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
194.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
194.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
194.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
194.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
193.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
193.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
193.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
192.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
192.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
192.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
192.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
192.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
192.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
192.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
191.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
191.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
190.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
190.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
190.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
190.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
190.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
189.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
189.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
189.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
188.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
187.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
187.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
187.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
186.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
186.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
186.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
186.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
185.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
184.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
184.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
184.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
184.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
184.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
184.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
184.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
183.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
182.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
182.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
182.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
181.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
181.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
180.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
180.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
180.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
180.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
179.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
179.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
179.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
179.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
178.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
178.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
178.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
178.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
178.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
178.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
178.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
177.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
177.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
175.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
175.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
175.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
175.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
174.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
173.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
171.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
171.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
171.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
171.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
171.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
170.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
170.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
170.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
170.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
169.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
169.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
169.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
169.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
168.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
168.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
168.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
168.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
166.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
166.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
166.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
166.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
166.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
166.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
165.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
165.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
165.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
165.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
164.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
164.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
164.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
164.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
163.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
163.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
162.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
162.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
162.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
162.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
161.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
161.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
161.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
161.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
160.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
160.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
160.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
160.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
160.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
160.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
159.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
159.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
158.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
158.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
158.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
158.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
157.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
157.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
157.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
157.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
157.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
155.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
155.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
155.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
155.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
154.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
154.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
153.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
153.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
153.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
152.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
151.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
151.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
150.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
150.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
150.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
150.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
149.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
149.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
148.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
148.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
148.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
147.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
147.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
147.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
146.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
146.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
146.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
146.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
145.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
145.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
145.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
145.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
145.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
143.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
143.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
143.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
143.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
142.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
142.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
142.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
142.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
141.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
141.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
140.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
139.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
139.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
138.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
138.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
138.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
135.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
135.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
135.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
135.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
135.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
133.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
131.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
131.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
130.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
129.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
124.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
120.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
118.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
117.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
110.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
110.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
109.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
106.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
106.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
98.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
95.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
14.8
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.
SPTBN1 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
56.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
154.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
132.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
119.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
119.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
110.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
109.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
108.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
107.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
106.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
105.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
102.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
100.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
96.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
89.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
88.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
77.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
76.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
74.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
72.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
71.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
70.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
66.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
61.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
59.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
58.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
56.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
55.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
53.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
51.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
43.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
42.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
38.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
35.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
34.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
20.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SPTBN1 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
197.9
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
504.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
393.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
383.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
346.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
344.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
320.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
318.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
301.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
300.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
300.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
299.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
292.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
284.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
284.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
283.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
281.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
281.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
277.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
272.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
267.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
267.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
265.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
261.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
257.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
257.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
255.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
255.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
251.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
251.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
251.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
250.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
249.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
249.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
249.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
246.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
244.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
241.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
240.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
240.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
239.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
236.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
236.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
234.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
234.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
233.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
233.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
229.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
229.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
226.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
224.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
222.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
222.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
220.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
218.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
218.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
217.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
217.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
217.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
216.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
216.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
216.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
215.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
215.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
214.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
212.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
212.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
211.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
210.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
210.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
210.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
209.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
209.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
209.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
209.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
208.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
208.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
204.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
204.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
204.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
203.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
203.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
203.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
203.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
203.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
202.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
202.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
202.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
201.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
201.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
201.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
200.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
200.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
199.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
198.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
198.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
198.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
194.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
193.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
193.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
192.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
192.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
192.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
191.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
191.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
190.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
190.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
190.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
189.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
189.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
188.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
188.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
187.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
187.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
186.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
186.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
186.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
185.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
183.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
183.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
182.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
182.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
181.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
180.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
180.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
179.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
178.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
177.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
177.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
177.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
177.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
177.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
176.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
176.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
176.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
176.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
175.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
175.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
174.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
172.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
171.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
171.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
170.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
170.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
170.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
169.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
168.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
166.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
164.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
164.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
164.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
164.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
164.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
162.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
162.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
162.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
160.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
160.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
160.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
159.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
159.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
158.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
158.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
156.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
156.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
156.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
155.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
154.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
153.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
153.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
153.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
152.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
151.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
150.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
147.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
146.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
145.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
145.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
145.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
144.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
144.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
144.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
143.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
141.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
140.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
140.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
137.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
136.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
135.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
133.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
133.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
131.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
129.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
127.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
124.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
123.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
122.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
122.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
118.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
113.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
113.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
109.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
108.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
98.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
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Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
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Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
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Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
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Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
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Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
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Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
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Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
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Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
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Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_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
