We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUMA1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
56.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
138.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
115.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
109.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
106.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
100.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
97.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
95.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
93.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
92.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
92.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
92.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
91.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
89.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
89.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
88.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
87.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
87.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
87.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
84.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
84.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
84.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
83.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
82.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
79.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
79.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
79.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
78.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
77.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
77.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
76.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
73.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
73.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
73.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
72.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
72.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
72.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
71.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
70.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
70.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
69.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
69.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
68.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
68.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
68.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
68.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
68.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
67.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
67.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
67.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
66.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
66.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
66.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
66.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
66.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
64.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
64.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
63.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
63.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
62.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
61.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
60.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
60.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
59.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
59.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
59.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
59.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
59.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
58.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
57.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
56.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
56.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
56.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
55.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
55.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
54.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
54.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
52.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
51.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
51.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
51.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
50.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
50.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
48.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
47.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
46.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
46.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
45.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
45.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
42.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
42.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
41.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
41.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
40.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
40.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
39.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
36.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
34.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
34.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
33.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
33.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
32.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
31.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
27.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUMA1 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
100.5
Number of samples
486
Samples
Sample
Description
TPM
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
242.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
212.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
205.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
204.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
198.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
192.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
190.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
180.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
171.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
166.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
165.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
164.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
164.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
164.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
163.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
160.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
160.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
154.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
152.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
152.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
152.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
151.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
151.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
148.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
147.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
147.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
146.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
144.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
143.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
143.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
143.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
142.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
141.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
140.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
140.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
139.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
139.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
139.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
138.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
138.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
138.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
138.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
137.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
137.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
137.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
136.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
136.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
136.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
136.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
136.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
135.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
135.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
135.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
134.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
134.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
134.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
133.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
133.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
133.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
133.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
133.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
132.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
132.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
132.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
131.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
131.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
130.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
130.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
130.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
130.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
129.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
129.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
129.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
128.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
128.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
127.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
127.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
126.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
126.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
125.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
125.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
125.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
125.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
125.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
124.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
123.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
122.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
122.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
122.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
121.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
121.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
121.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
120.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
120.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
119.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
119.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
119.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
118.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
117.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
117.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
117.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
117.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
117.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
116.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
116.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
116.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
115.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
115.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
115.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
115.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
115.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
114.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
114.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
114.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
114.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
114.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
114.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
114.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
114.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
114.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
113.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
113.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
113.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
113.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
113.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
113.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
112.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
112.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
111.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
111.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
111.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
111.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
111.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
111.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
111.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
111.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
110.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
110.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
110.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
110.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
110.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
110.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
109.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
109.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
109.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
109.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
109.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
109.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
109.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
109.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
109.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
108.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
108.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
108.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
108.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
108.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
108.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
108.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
108.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
107.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
107.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
107.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
106.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
106.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
106.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
106.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
105.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
105.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
105.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
105.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
105.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
105.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
104.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
104.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
104.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
104.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
104.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
103.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
103.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
103.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
103.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
103.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
102.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
102.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
102.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
102.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
102.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
101.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
101.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
101.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
101.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
101.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
100.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
100.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
100.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
100.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
100.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
100.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
100.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
100.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
100.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
99.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
99.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
99.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
98.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
98.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
98.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
98.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
98.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
98.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
98.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
98.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
98.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
97.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
97.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
97.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
97.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
96.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
96.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
96.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
96.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
96.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
95.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
95.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
95.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
95.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
95.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
95.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
94.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
94.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
94.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
94.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
94.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
93.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
93.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
93.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
93.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
93.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
93.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
93.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
93.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
93.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
92.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
92.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
92.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
92.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
92.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
92.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
92.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
91.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
91.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
91.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
91.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
91.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
90.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
90.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
90.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
90.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
90.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
90.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
90.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
89.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
89.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
89.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
89.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
89.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
89.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
89.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
88.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
88.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
88.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
88.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
87.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
87.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
87.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
87.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
87.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
87.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
87.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
87.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
86.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
86.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
86.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
86.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
86.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
86.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
85.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
85.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
85.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
85.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
85.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
84.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
84.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
84.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
84.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
84.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
84.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
84.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
83.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
83.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
82.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
82.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
82.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
82.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
81.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
81.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
81.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
81.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
81.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
80.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
80.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
79.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
79.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
79.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
79.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
79.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
79.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
78.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
78.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
78.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
78.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
78.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
78.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
78.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
78.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
78.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
77.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
77.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
77.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
77.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
76.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
76.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
75.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
75.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
75.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
75.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
74.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
74.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
74.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
73.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
73.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
72.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
71.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
70.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
69.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
69.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
69.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
68.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
67.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
67.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
66.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
65.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
64.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
63.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
63.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
60.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
60.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
59.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
NUMA1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
53.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
107.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
100.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
99.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
94.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
90.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
85.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
84.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
81.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
79.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
79.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
79.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
77.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
77.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
76.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
75.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
74.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
71.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
70.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
70.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
69.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
68.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
67.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
65.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
57.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
46.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
45.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
44.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
42.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
38.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
37.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
29.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUMA1 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
98.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
177.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
167.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
165.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
158.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
155.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
149.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
146.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
146.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
146.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
145.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
143.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
142.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
140.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
140.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
140.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
139.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
138.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
138.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
138.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
137.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
135.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
134.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
133.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
131.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
131.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
131.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
128.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
128.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
127.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
127.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
125.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
124.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
123.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
122.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
122.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
122.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
120.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
120.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
119.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
117.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
115.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
114.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
114.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
114.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
113.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
112.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
112.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
112.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
112.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
111.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
111.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
111.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
111.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
110.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
110.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
109.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
109.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
109.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
107.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
107.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
107.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
106.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
106.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
106.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
105.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
105.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
104.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
104.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
104.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
102.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
102.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
102.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
101.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
101.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
99.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
99.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
99.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
99.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
98.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
98.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
97.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
97.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
97.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
97.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
96.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
96.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
96.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
96.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
96.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
96.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
96.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
96.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
95.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
95.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
95.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
95.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
95.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
95.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
94.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
94.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
94.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
94.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
92.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
92.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
92.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
92.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
91.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
91.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
90.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
89.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
89.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
88.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
88.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
88.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
87.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
87.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
87.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
86.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
86.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
85.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
85.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
85.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
84.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
84.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
83.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
81.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
80.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
80.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
80.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
80.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
79.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
79.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
78.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
78.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
78.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
77.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
77.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
77.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
77.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
75.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
75.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
75.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
70.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
69.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
67.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
63.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
63.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
62.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
61.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
59.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
50.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
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
