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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.
TXN2 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
73.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
150.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
140.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
134.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
128.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
127.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
123.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
121.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
119.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
116.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
116.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
112.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
111.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
110.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
109.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
108.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
106.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
106.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
104.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
103.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
103.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
103.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
103.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
102.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
102.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
101.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
99.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
98.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
98.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
98.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
97.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
97.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
96.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
96.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
96.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
95.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
94.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
94.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
93.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
93.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
93.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
92.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
91.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
91.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
91.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
91.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
90.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
89.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
89.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
88.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
88.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
88.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
88.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
87.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
87.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
87.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
87.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
86.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
86.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
86.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
85.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
85.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
85.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
85.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
85.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
84.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
84.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
83.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
83.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
82.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
82.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
82.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
81.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
81.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
81.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
81.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
80.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
80.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
79.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
78.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
78.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
77.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
77.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
77.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
77.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
76.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
75.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
74.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
74.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
73.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
73.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
73.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
73.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
72.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
72.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
71.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
71.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
71.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
71.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
71.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
70.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
70.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
69.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
69.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
69.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
69.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
69.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
69.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
69.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
67.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
66.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
66.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
66.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
66.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
66.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
66.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
66.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
65.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
65.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
64.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
64.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
64.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
63.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
63.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
63.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
62.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
60.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
60.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
60.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
59.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
58.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
57.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
57.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
56.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
55.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
55.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
54.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
54.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
54.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
54.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
52.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
51.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
51.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
48.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
48.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
47.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
44.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
41.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
40.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
TXN2 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
64.3
Number of samples
486
Samples
Sample
Description
TPM
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
121.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
107.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
100.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
99.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
99.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
98.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
97.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
97.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
96.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
94.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
94.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
94.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
93.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
93.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
91.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
90.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
90.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
90.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
90.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
90.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
89.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
89.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
88.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
88.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
87.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
87.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
87.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
86.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
86.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
85.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
85.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
84.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
83.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
82.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
82.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
82.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
81.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
80.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
80.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
80.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
80.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
78.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
78.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
78.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
77.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
77.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
77.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
76.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
76.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
75.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
75.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
75.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
74.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
74.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
73.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
73.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
73.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
73.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
73.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
72.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
72.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
72.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
72.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
71.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
71.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
71.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
71.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
70.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
70.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
69.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
69.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
69.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
68.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
68.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
68.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
68.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
68.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
67.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
67.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
67.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
67.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
67.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
66.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
66.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
66.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
65.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
65.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
65.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
65.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
64.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
63.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
63.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
63.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
63.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
62.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
62.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
61.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
61.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
60.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
60.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
60.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
57.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
57.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
54.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
52.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
51.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
47.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
43.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TXN2 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
67.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
126.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
118.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
112.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
108.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
106.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
103.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
99.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
90.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
90.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
89.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
87.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
85.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
84.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
83.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
81.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
80.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
78.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
78.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
77.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
77.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
76.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
71.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
70.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
69.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
69.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
67.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
67.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
66.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
65.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
65.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
64.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
62.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
60.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
60.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
60.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
59.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
58.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
58.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
58.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
56.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
55.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
53.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
52.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
51.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
51.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
51.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
45.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
44.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
40.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
38.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 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.
TXN2 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
56.8
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
136.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
93.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
91.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
85.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
85.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
84.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
80.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
80.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
79.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
78.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
77.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
77.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
77.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
77.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
76.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
75.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
74.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
71.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
70.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
67.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
67.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
67.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
66.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
66.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
65.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
65.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
64.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
63.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
61.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
60.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
59.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
54.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
49.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
44.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
43.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
