We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLXNB2 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
46.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
148.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
137.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
119.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
110.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
108.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
100.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
98.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
96.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
95.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
94.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
92.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
91.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
90.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
88.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
87.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
85.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
84.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
83.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
81.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
78.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
78.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
77.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
74.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
73.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
70.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
70.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
69.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
62.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
60.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
59.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
57.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
57.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
56.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
56.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
54.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
54.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
53.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
53.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
53.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
48.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
48.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
48.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
47.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
45.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
45.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
44.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
42.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
41.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
39.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
37.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
37.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
37.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
35.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
35.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
33.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
33.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
29.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
29.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
26.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
24.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
23.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
19.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
18.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
10.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
PLXNB2 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
109.6
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
294.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
250.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
224.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
217.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
209.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
207.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
204.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
204.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
203.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
203.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
194.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
193.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
191.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
191.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
188.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
185.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
185.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
183.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
181.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
179.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
177.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
177.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
176.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
175.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
174.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
172.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
170.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
170.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
170.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
168.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
168.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
168.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
166.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
166.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
166.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
166.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
165.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
164.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
164.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
162.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
161.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
160.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
159.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
158.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
158.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
158.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
157.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
157.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
156.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
156.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
156.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
155.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
155.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
154.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
154.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
154.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
154.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
154.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
153.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
153.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
153.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
152.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
152.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
151.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
150.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
150.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
150.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
149.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
149.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
149.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
147.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
146.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
146.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
145.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
145.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
144.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
144.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
144.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
144.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
144.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
144.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
143.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
142.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
142.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
142.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
142.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
141.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
141.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
141.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
141.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
141.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
140.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
140.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
140.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
138.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
138.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
138.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
137.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
137.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
137.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
137.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
137.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
136.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
136.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
136.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
135.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
135.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
134.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
134.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
134.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
134.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
134.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
134.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
133.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
133.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
133.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
133.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
133.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
133.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
132.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
132.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
132.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
132.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
131.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
131.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
131.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
131.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
130.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
129.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
129.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
129.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
129.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
129.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
129.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
129.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
127.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
127.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
127.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
127.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
126.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
126.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
125.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
124.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
124.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
124.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
123.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
121.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
121.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
121.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
121.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
121.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
121.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
120.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
120.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
120.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
120.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
120.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
120.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
119.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
119.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
119.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
119.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
118.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
118.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
118.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
117.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
117.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
117.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
117.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
116.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
116.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
116.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
115.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
115.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
115.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
114.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
114.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
113.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
113.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
113.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
113.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
112.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
112.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
112.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
112.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
112.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
112.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
111.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
111.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
110.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
110.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
110.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
110.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
109.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
109.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
109.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
109.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
109.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
109.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
109.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
109.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
109.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
109.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
108.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
108.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
108.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
107.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
107.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
106.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
106.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
106.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
105.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
105.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
105.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
104.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
104.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
104.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
104.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
104.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
104.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
103.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
103.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
103.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
103.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
103.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
103.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
103.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
103.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
102.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
102.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
102.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
102.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
102.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
101.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
101.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
101.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
101.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
101.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
101.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
101.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
101.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
101.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
100.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
99.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
99.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
99.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
99.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
99.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
99.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
99.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
99.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
99.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
99.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
98.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
98.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
98.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
98.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
98.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
98.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
98.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
97.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
97.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
97.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
97.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
97.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
96.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
96.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
96.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
96.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
95.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
95.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
95.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
95.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
95.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
95.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
95.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
95.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
94.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
94.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
94.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
94.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
94.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
94.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
93.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
93.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
93.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
92.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
92.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
92.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
92.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
92.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
91.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
91.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
91.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
91.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
91.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
90.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
89.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
89.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
89.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
89.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
88.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
88.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
88.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
88.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
88.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
87.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
87.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
87.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
87.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
87.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
86.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
86.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
86.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
86.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
85.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
85.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
85.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
84.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
84.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
84.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
83.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
83.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
83.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
83.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
83.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
83.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
82.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
82.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
82.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
81.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
81.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
80.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
78.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
78.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
78.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
78.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
76.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
75.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
74.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
74.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
74.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
74.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
73.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
72.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
71.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
69.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
69.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
69.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
69.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
68.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
68.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
65.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
62.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
61.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
57.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
48.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
PLXNB2 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
39.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
83.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
80.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
71.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
64.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
63.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
62.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
57.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
55.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
53.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
49.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
46.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
29.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
29.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
24.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
19.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
16.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLXNB2 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
103.2
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
235.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
222.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
217.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
193.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
189.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
188.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
179.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
177.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
174.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
173.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
167.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
165.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
165.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
163.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
162.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
162.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
158.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
157.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
150.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
150.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
145.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
145.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
144.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
144.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
144.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
142.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
142.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
141.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
139.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
138.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
137.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
137.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
136.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
136.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
136.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
136.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
136.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
135.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
134.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
134.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
133.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
133.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
133.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
132.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
130.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
129.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
129.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
129.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
127.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
126.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
124.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
123.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
123.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
122.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
122.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
120.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
119.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
118.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
117.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
117.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
117.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
117.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
117.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
116.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
116.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
115.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
113.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
113.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
113.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
112.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
112.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
112.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
111.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
111.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
111.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
111.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
110.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
109.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
108.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
108.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
106.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
106.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
105.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
104.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
104.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
103.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
103.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
103.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
102.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
102.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
102.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
102.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
101.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
100.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
100.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
99.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
98.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
98.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
98.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
97.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
97.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
97.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
96.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
96.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
96.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
95.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
95.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
95.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
95.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
94.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
94.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
94.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
94.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
93.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
93.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
92.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
92.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
90.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
89.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
89.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
89.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
89.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
89.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
89.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
89.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
88.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
87.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
87.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
86.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
84.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
82.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
82.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
80.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
80.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
79.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
79.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
78.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
78.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
78.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
76.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
74.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
73.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
72.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
70.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
69.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
69.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
68.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
68.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
67.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
65.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
65.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
64.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
62.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
62.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
58.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
57.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
57.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
56.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
54.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
53.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
30.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
