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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.
PFDN1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
56.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
108.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
100.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
97.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
97.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
94.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
89.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
87.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
86.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
86.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
86.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
84.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
84.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
83.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
82.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
81.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
81.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
80.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
78.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
77.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
76.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
76.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
75.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
75.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
74.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
74.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
74.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
74.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
72.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
72.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
71.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
70.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
69.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
69.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
69.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
69.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
69.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
68.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
68.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
67.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
67.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
67.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
66.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
66.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
66.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
65.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
65.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
65.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
65.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
64.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
64.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
64.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
64.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
62.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
61.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
61.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
61.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
60.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
60.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
59.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
59.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
58.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
58.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
58.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
58.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
57.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
57.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
57.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
56.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
56.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
55.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
54.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
54.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
54.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
54.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
54.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
53.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
52.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
52.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
52.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
52.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
52.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
51.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
51.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
51.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
50.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
50.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
49.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
49.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
49.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
47.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
46.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
44.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
44.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
42.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
42.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
42.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
41.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
40.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
40.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
40.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
39.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
38.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
37.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
32.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
PFDN1 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
45.4
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
96.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
82.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
70.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
69.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
67.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
66.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
62.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
60.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
60.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
60.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
59.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
58.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
57.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
56.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
55.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
55.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
55.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
55.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
52.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
52.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
51.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
51.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
49.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
49.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
49.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
48.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
48.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
47.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
45.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
35.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
34.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
29.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
26.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
PFDN1 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
55.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
100.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
86.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
82.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
75.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
75.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
75.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
74.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
73.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
70.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
70.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
69.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
67.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
65.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
65.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
62.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
62.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
61.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
60.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
58.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
57.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
57.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
54.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
54.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
54.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
53.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
51.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
48.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
46.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
45.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
42.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
35.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
30.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PFDN1 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
40.0
Number of samples
207
Samples
Sample
Description
TPM
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
79.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
69.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
65.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
61.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
50.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
49.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
44.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
42.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
39.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
38.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
35.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
35.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
34.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
34.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
26.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
25.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.4
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
