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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITPR3 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
37.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
104.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
91.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
78.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
74.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
72.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
71.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
70.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
68.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
66.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
66.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
66.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
65.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
60.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
60.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
59.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
59.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
57.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
57.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
56.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
55.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
55.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
54.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
54.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
54.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
52.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
51.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
50.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
49.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
49.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
48.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
47.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
45.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
45.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
45.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
41.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
40.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
37.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
37.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
35.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
35.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
35.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
29.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
28.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
27.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
26.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
26.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
25.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
25.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
25.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
23.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
23.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
21.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
21.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
19.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
16.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
15.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
12.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
ITPR3 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
70.5
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
157.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
156.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
156.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
142.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
139.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
137.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
137.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
135.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
130.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
127.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
126.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
125.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
125.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
124.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
124.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
123.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
123.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
122.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
121.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
121.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
120.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
119.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
118.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
117.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
117.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
116.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
115.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
115.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
112.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
111.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
111.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
111.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
110.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
110.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
109.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
109.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
108.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
107.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
105.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
105.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
105.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
104.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
103.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
102.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
102.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
101.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
100.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
100.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
100.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
100.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
100.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
99.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
99.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
99.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
99.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
98.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
97.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
97.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
97.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
96.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
96.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
95.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
95.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
95.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
95.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
94.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
94.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
92.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
92.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
91.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
91.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
91.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
90.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
89.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
89.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
89.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
89.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
89.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
88.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
87.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
87.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
86.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
86.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
85.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
85.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
84.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
84.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
84.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
84.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
83.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
82.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
82.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
82.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
81.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
81.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
81.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
80.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
80.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
79.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
79.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
79.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
79.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
79.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
79.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
78.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
78.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
76.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
76.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
76.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
76.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
75.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
75.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
75.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
74.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
74.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
73.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
73.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
73.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
72.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
72.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
72.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
72.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
71.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
71.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
70.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
70.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
70.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
70.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
70.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
69.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
69.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
69.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
69.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
68.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
67.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
65.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
65.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
64.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
64.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
63.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
62.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
62.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
62.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
62.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
62.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
59.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
59.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
59.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
59.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
58.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
58.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
58.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
58.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
56.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
55.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
55.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
55.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
52.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
49.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
45.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
45.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
ITPR3 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
34.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
58.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
35.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
29.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
26.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
24.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ITPR3 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
62.2
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
155.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
126.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
118.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
111.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
107.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
99.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
98.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
97.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
94.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
94.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
94.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
93.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
93.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
90.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
89.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
87.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
86.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
84.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
84.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
83.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
83.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
82.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
81.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
81.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
81.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
80.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
80.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
79.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
77.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
73.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
73.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
72.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
72.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
71.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
71.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
70.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
69.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
69.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
68.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
68.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
67.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
67.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
66.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
65.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
64.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
64.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
64.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
63.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
63.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
62.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
59.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
59.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
57.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
57.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
55.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
54.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
50.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
37.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
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
