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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.
IGBP1 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
79.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
198.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
193.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
190.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
173.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
172.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
169.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
165.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
162.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
157.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
155.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
153.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
152.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
145.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
143.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
138.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
138.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
134.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
132.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
129.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
128.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
126.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
126.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
122.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
121.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
120.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
119.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
118.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
118.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
118.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
117.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
116.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
114.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
114.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
113.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
113.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
112.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
111.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
108.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
107.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
107.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
107.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
106.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
106.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
106.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
105.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
104.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
103.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
103.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
102.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
100.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
100.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
99.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
99.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
99.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
98.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
98.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
97.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
96.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
96.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
96.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
96.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
95.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
95.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
95.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
94.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
93.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
93.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
93.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
92.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
92.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
92.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
91.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
91.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
90.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
89.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
89.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
88.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
87.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
87.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
86.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
86.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
85.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
84.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
84.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
83.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
82.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
81.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
81.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
80.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
80.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
79.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
79.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
79.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
78.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
77.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
77.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
77.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
77.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
76.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
75.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
74.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
74.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
73.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
73.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
72.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
71.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
71.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
71.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
71.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
70.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
70.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
69.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
69.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
69.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
68.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
66.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
66.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
66.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
65.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
64.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
63.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
63.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
63.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
62.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
60.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
60.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
59.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
59.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
57.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
56.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
56.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
56.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
56.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
54.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
54.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
52.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
52.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
51.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
51.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
49.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
49.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
48.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
48.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
48.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
48.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
47.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
47.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
46.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
45.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
45.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
44.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
38.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 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.
IGBP1 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
51.9
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
178.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
142.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
136.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
134.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
117.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
115.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
106.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
106.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
99.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
99.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
98.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
98.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
96.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
94.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
94.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
84.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
84.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
84.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
84.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
84.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
83.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
82.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
82.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
82.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
81.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
79.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
77.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
76.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
75.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
75.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
74.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
74.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
71.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
71.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
69.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
67.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
67.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
66.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
66.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
66.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
65.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
64.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
62.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
62.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
62.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
61.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
60.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
60.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
60.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
59.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
58.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
55.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
54.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
51.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
49.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
49.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
48.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
48.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
48.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
46.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
43.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
42.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
40.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
38.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
37.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
35.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
31.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
28.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
28.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
27.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
25.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
25.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
23.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
22.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGBP1 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
84.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
187.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
186.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
175.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
165.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
161.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
156.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
151.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
144.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
143.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
127.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
126.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
125.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
122.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
115.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
109.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
109.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
109.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
109.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
106.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
105.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
98.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
98.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
98.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
97.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
96.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
95.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
92.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
88.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
87.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
85.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
84.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
84.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
79.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
78.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
76.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
75.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
75.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
74.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
73.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
70.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
68.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
68.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
66.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
66.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
64.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
63.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
58.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
55.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
54.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
47.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
45.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.5
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.
IGBP1 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
47.8
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
218.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
95.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
94.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
91.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
88.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
78.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
77.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
73.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
72.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
70.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
66.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
65.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
63.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
59.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
58.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
54.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
49.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
37.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
36.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
34.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
33.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
31.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
28.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
26.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
23.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
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Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
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Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
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Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
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
