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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.
TFDP1 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
74.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
200.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
192.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
192.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
174.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
172.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
171.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
148.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
147.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
147.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
147.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
145.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
143.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
137.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
134.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
133.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
127.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
125.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
124.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
121.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
121.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
120.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
120.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
114.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
113.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
113.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
112.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
112.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
112.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
110.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
108.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
103.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
103.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
103.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
102.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
102.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
99.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
98.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
98.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
98.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
97.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
97.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
95.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
95.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
93.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
93.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
93.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
93.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
92.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
92.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
92.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
92.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
91.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
90.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
90.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
90.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
88.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
88.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
88.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
88.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
88.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
87.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
87.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
87.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
87.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
86.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
86.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
86.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
85.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
84.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
84.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
83.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
83.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
82.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
82.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
81.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
81.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
81.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
81.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
80.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
80.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
80.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
79.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
79.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
78.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
77.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
75.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
75.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
74.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
74.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
74.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
73.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
73.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
73.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
72.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
71.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
70.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
70.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
69.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
69.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
68.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
68.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
66.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
64.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
63.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
62.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
61.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
61.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
59.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
57.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
57.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
56.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
55.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
55.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
55.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
54.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
53.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
53.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
51.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
51.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
50.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
49.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
49.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
47.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
47.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
46.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
41.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
37.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
33.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
TFDP1 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
71.2
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
229.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
195.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
186.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
186.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
183.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
179.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
172.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
157.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
152.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
148.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
147.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
141.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
140.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
140.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
140.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
139.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
138.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
137.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
137.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
137.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
136.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
135.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
133.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
132.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
127.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
123.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
122.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
121.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
120.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
120.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
119.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
117.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
112.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
111.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
111.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
110.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
108.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
107.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
107.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
106.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
106.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
106.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
105.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
105.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
104.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
104.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
103.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
103.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
103.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
102.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
101.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
99.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
98.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
95.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
94.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
93.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
93.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
93.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
92.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
92.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
92.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
91.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
90.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
90.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
90.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
90.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
89.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
89.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
88.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
88.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
88.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
88.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
87.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
87.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
86.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
86.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
86.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
86.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
86.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
86.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
86.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
85.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
85.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
85.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
85.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
85.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
85.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
84.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
84.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
84.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
82.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
81.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
81.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
80.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
80.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
80.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
80.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
79.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
79.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
78.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
77.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
76.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
75.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
75.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
75.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
74.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
73.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
73.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
73.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
71.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
71.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
71.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
71.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
70.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
70.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
70.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
69.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
69.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
68.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
68.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
68.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
67.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
67.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
67.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
66.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
66.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
65.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
64.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
64.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
64.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
63.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
63.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
63.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
62.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
61.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
61.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
61.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
61.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
59.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
59.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
55.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
54.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
53.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
38.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
TFDP1 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
78.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
203.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
169.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
166.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
159.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
154.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
150.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
144.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
140.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
118.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
114.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
112.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
112.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
110.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
106.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
99.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
98.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
97.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
95.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
94.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
92.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
91.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
91.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
91.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
89.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
88.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
88.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
85.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
84.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
83.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
82.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
81.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
81.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
80.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
80.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
80.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
79.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
77.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
77.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
76.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
76.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
75.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
74.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
72.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
68.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
65.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
64.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
62.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
59.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
59.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
57.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
53.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
52.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
46.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
43.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
38.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
37.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.0
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.
TFDP1 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
66.0
Number of samples
207
Samples
Sample
Description
TPM
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
259.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
157.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
153.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
130.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
128.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
123.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
119.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
119.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
118.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
117.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
115.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
114.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
112.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
110.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
107.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
103.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
102.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
100.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
100.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
98.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
97.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
97.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
96.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
96.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
96.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
96.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
94.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
92.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
92.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
91.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
91.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
91.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
90.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
88.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
86.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
85.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
85.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
82.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
80.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
78.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
78.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
77.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
77.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
74.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
73.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
72.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
72.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
71.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
71.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
69.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
69.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
69.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
69.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
67.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
66.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
65.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
64.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
64.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
63.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
59.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
58.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
57.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
53.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
36.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
27.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
19.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
2.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.9
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-2.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
