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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.
PTPRF 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
75.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
223.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
177.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
150.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
147.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
144.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
142.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
140.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
138.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
134.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
134.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
132.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
132.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
130.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
130.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
130.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
125.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
124.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
123.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
122.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
120.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
120.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
119.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
119.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
118.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
114.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
114.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
113.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
112.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
111.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
111.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
110.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
109.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
108.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
108.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
107.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
106.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
105.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
105.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
104.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
104.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
103.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
103.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
103.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
103.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
103.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
101.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
101.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
101.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
99.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
96.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
96.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
96.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
96.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
94.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
94.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
93.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
93.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
93.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
89.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
89.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
89.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
88.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
88.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
88.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
88.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
87.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
87.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
87.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
86.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
86.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
86.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
86.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
86.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
84.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
84.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
84.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
83.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
83.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
83.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
83.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
83.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
82.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
81.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
81.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
81.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
81.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
80.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
79.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
78.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
77.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
75.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
74.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
74.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
73.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
71.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
70.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
70.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
69.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
69.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
69.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
67.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
67.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
66.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
66.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
65.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
64.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
64.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
63.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
63.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
63.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
63.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
63.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
62.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
61.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
61.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
60.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
60.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
59.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
59.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
59.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
58.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
57.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
57.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
57.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
55.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
54.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
53.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
51.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
51.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
50.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
50.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
49.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
49.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
49.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
48.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
48.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
45.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
42.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
42.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
40.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
38.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
37.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
32.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
32.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
PTPRF 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
96.1
Number of samples
486
Samples
Sample
Description
TPM
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
252.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
243.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
216.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
208.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
206.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
200.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
196.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
195.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
193.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
189.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
187.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
182.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
182.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
180.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
179.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
178.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
177.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
175.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
170.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
170.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
168.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
166.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
165.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
162.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
161.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
161.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
158.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
158.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
158.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
157.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
157.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
156.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
155.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
155.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
154.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
151.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
151.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
150.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
149.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
149.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
149.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
149.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
149.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
148.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
147.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
147.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
147.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
146.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
145.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
145.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
144.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
144.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
140.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
140.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
140.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
139.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
139.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
139.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
138.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
137.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
136.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
136.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
135.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
135.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
132.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
132.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
132.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
131.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
130.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
130.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
130.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
130.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
129.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
129.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
129.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
129.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
128.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
128.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
128.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
128.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
127.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
127.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
126.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
125.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
125.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
124.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
124.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
124.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
123.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
123.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
122.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
122.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
122.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
121.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
121.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
121.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
120.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
120.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
119.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
119.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
119.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
119.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
118.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
117.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
117.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
116.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
116.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
116.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
115.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
115.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
114.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
114.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
114.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
114.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
114.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
113.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
113.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
113.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
113.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
112.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
112.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
112.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
112.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
112.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
111.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
111.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
111.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
111.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
111.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
110.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
110.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
110.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
109.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
109.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
109.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
109.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
108.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
108.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
108.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
107.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
107.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
107.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
107.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
107.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
107.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
107.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
105.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
105.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
105.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
105.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
105.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
105.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
105.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
105.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
105.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
105.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
104.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
104.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
104.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
104.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
104.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
104.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
103.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
103.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
103.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
103.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
101.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
101.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
101.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
101.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
101.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
101.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
101.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
100.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
100.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
100.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
100.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
100.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
100.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
100.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
99.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
99.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
99.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
99.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
99.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
99.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
99.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
98.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
98.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
98.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
98.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
97.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
97.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
97.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
96.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
96.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
95.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
95.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
95.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
95.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
95.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
95.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
95.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
94.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
94.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
94.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
94.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
94.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
94.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
94.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
93.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
93.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
93.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
93.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
93.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
93.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
93.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
93.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
93.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
93.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
93.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
93.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
92.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
92.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
91.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
91.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
91.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
91.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
90.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
90.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
90.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
89.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
89.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
89.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
89.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
89.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
89.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
88.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
88.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
88.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
87.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
87.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
87.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
87.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
86.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
86.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
86.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
86.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
85.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
85.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
85.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
84.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
84.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
84.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
84.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
84.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
84.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
83.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
83.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
83.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
83.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
83.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
82.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
81.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
81.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
81.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
80.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
80.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
80.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
80.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
79.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
78.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
78.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
76.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
76.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
76.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
76.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
75.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
75.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
75.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
74.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
74.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
72.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
72.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
69.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
68.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
67.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
66.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
65.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
65.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
62.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
61.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
59.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
54.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
53.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
50.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
47.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
45.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
33.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
27.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
PTPRF 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
72.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
245.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
169.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
125.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
125.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
122.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
115.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
106.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
105.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
105.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
103.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
100.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
98.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
97.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
96.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
94.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
91.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
91.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
91.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
89.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
88.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
88.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
87.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
87.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
83.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
82.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
81.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
73.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
73.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
72.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
71.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
71.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
71.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
70.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
68.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
68.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
67.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
61.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
55.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
51.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
51.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
41.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
31.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.4
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.
PTPRF 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
85.1
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
231.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
196.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
187.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
169.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
167.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
157.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
155.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
153.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
153.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
149.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
145.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
145.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
143.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
140.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
139.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
139.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
138.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
137.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
136.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
135.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
128.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
127.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
125.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
125.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
125.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
124.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
124.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
121.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
120.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
120.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
118.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
115.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
114.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
114.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
114.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
113.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
111.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
110.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
110.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
110.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
109.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
108.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
107.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
107.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
107.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
105.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
104.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
102.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
102.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
102.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
102.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
101.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
101.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
101.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
100.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
98.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
97.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
97.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
97.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
95.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
94.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
93.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
93.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
93.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
92.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
91.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
91.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
91.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
91.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
90.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
90.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
90.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
89.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
89.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
89.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
89.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
89.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
88.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
87.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
87.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
87.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
86.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
86.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
86.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
85.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
85.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
84.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
84.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
83.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
80.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
80.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
78.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
77.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
77.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
77.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
77.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
76.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
75.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
74.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
72.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
72.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
71.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
70.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
70.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
70.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
69.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
69.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
69.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
69.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
68.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
67.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
67.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
65.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
63.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
58.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
56.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
53.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
52.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
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Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
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Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
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Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
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Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
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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
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Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
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Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
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Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.1
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
