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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PLBD1 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
63.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
302.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
237.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
202.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
194.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
176.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
173.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
173.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
168.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
158.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
151.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
151.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
149.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
145.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
143.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
137.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
133.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
132.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
132.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
129.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
128.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
125.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
123.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
119.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
119.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
117.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
117.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
116.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
114.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
114.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
112.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
111.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
108.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
108.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
107.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
107.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
104.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
103.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
102.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
102.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
102.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
95.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
95.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
95.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
94.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
94.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
94.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
93.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
93.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
93.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
92.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
91.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
91.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
90.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
87.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
86.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
86.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
85.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
85.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
84.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
83.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
82.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
81.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
81.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
80.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
78.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
78.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
77.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
77.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
73.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
73.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
72.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
71.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
69.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
67.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
65.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
64.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
63.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
62.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
62.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
61.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
58.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
58.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
58.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
57.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
56.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
55.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
52.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
51.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
51.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
50.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
49.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
49.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
47.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
45.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
45.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
44.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
42.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
40.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
40.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
37.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
36.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
29.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
28.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
22.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
22.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
17.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
15.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
PLBD1 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
97.6
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
391.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
313.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
307.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
289.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
271.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
257.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
249.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
242.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
238.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
237.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
230.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
226.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
223.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
220.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
220.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
208.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
208.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
205.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
204.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
202.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
201.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
199.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
198.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
198.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
196.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
195.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
195.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
195.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
189.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
187.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
187.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
187.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
187.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
186.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
184.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
183.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
183.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
183.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
182.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
181.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
179.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
177.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
176.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
175.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
175.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
175.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
174.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
173.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
172.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
171.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
171.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
170.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
170.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
169.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
169.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
169.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
169.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
166.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
162.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
162.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
162.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
161.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
161.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
160.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
160.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
159.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
157.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
157.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
153.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
152.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
150.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
150.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
150.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
150.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
149.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
149.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
148.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
148.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
148.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
147.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
147.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
146.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
146.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
146.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
145.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
145.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
144.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
144.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
143.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
142.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
142.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
140.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
139.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
139.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
138.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
138.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
138.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
138.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
137.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
137.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
134.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
134.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
134.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
132.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
132.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
131.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
131.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
131.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
130.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
129.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
129.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
129.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
129.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
128.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
128.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
127.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
127.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
127.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
127.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
126.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
125.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
125.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
125.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
125.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
125.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
124.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
124.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
124.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
124.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
123.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
123.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
122.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
121.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
120.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
120.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
120.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
120.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
119.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
119.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
118.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
118.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
118.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
118.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
115.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
115.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
115.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
115.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
115.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
115.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
114.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
114.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
114.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
114.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
113.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
113.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
113.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
113.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
113.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
113.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
112.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
112.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
111.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
111.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
111.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
111.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
111.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
111.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
110.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
109.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
108.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
108.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
108.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
108.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
108.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
108.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
107.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
107.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
107.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
106.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
106.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
106.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
106.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
106.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
105.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
104.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
104.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
103.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
103.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
103.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
102.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
102.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
102.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
102.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
102.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
102.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
100.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
100.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
98.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
97.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
97.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
97.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
97.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
97.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
96.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
95.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
95.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
94.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
94.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
94.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
93.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
93.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
93.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
92.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
92.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
92.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
92.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
91.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
90.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
90.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
90.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
90.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
89.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
88.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
88.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
88.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
87.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
87.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
87.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
87.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
86.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
86.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
84.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
84.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
84.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
84.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
84.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
82.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
82.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
82.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
82.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
81.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
81.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
81.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
81.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
80.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
79.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
79.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
79.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
78.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
78.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
77.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
76.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
75.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
74.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
74.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
74.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
73.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
72.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
72.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
72.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
70.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
69.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
68.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
66.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
66.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
65.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
64.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
64.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
62.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
60.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
60.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
59.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
58.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
54.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
51.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
50.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
44.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
44.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
36.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
34.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
33.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
27.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
24.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
23.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
20.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
20.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
18.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
16.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
15.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
15.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
11.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
8.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.4
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.
PLBD1 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
68.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
231.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
154.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
146.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
142.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
132.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
131.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
124.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
118.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
116.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
112.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
112.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
110.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
110.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
108.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
108.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
94.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
93.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
90.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
90.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
88.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
87.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
87.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
86.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
85.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
83.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
83.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
83.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
77.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
77.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
75.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
75.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
73.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
73.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
72.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
68.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
64.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
60.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
56.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
55.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
54.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
53.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
52.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
46.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
42.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
28.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.2
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.
PLBD1 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
122.2
Number of samples
207
Samples
Sample
Description
TPM
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
479.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
438.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
385.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
350.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
287.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
284.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
270.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
264.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
263.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
262.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
260.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
250.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
249.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
246.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
246.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
234.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
223.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
223.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
223.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
222.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
222.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
212.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
209.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
209.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
207.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
202.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
196.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
196.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
194.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
191.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
190.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
189.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
189.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
187.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
187.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
185.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
182.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
180.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
177.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
168.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
165.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
164.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
160.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
160.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
159.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
159.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
158.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
157.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
156.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
155.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
149.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
147.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
145.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
145.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
144.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
142.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
141.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
141.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
141.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
140.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
140.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
139.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
137.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
137.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
136.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
135.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
134.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
133.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
130.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
128.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
127.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
127.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
126.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
126.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
125.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
124.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
124.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
123.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
123.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
123.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
121.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
121.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
120.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
120.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
120.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
119.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
118.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
117.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
116.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
114.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
114.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
112.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
112.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
112.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
111.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
111.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
111.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
110.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
110.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
109.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
107.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
107.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
107.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
104.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
102.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
102.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
101.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
101.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
100.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
100.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
99.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
99.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
99.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
97.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
96.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
95.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
95.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
93.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
92.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
91.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
90.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
90.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
89.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
89.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
89.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
88.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
88.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
87.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
87.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
86.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
82.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
82.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
82.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
81.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
80.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
77.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
76.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
76.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
75.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
71.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
69.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
69.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
68.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
68.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
67.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
65.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
64.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
63.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
62.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
60.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
59.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
54.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
42.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
1.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-1.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.7
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
