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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.
TMPRSS2 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
69.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
366.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
262.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
170.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
170.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
158.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
158.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
152.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
147.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
145.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
145.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
144.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
139.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
132.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
129.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
128.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
127.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
126.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
125.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
125.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
125.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
125.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
123.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
123.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
121.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
119.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
119.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
118.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
117.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
117.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
116.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
113.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
109.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
109.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
108.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
108.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
107.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
105.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
105.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
104.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
102.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
101.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
100.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
99.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
98.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
98.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
97.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
97.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
97.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
96.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
96.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
95.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
94.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
93.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
93.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
93.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
92.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
92.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
91.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
91.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
91.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
90.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
90.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
89.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
88.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
85.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
85.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
85.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
82.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
80.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
78.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
77.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
77.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
77.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
76.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
75.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
74.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
74.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
72.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
71.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
70.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
70.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
70.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
69.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
68.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
68.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
67.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
66.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
64.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
64.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
63.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
61.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
60.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
60.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
59.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
59.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
58.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
58.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
56.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
55.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
54.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
54.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
54.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
53.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
53.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
51.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
51.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
51.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
50.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
47.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
46.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
44.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
44.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
44.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
44.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
43.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
41.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
38.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
36.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
36.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
34.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
30.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
30.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
23.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
23.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
TMPRSS2 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
94.6
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
323.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
308.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
299.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
242.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
236.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
233.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
231.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
225.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
224.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
220.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
207.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
205.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
205.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
202.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
192.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
179.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
172.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
171.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
171.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
168.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
167.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
167.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
166.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
165.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
164.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
162.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
162.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
161.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
161.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
160.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
159.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
156.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
156.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
155.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
155.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
155.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
153.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
152.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
149.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
149.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
148.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
147.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
147.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
146.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
145.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
145.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
145.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
145.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
144.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
143.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
143.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
141.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
141.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
139.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
137.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
136.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
136.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
136.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
136.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
136.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
135.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
135.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
134.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
134.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
134.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
133.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
133.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
133.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
133.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
132.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
132.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
132.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
132.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
131.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
131.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
129.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
129.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
129.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
128.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
128.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
128.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
127.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
127.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
126.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
126.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
126.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
125.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
125.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
125.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
125.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
124.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
124.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
124.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
124.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
124.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
124.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
124.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
123.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
123.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
122.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
122.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
122.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
121.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
121.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
120.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
120.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
120.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
120.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
120.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
120.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
120.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
119.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
118.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
118.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
117.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
117.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
117.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
116.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
116.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
116.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
115.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
115.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
115.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
114.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
114.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
114.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
113.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
113.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
112.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
112.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
111.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
111.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
111.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
111.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
111.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
111.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
110.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
110.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
110.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
110.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
109.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
109.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
109.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
109.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
108.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
108.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
108.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
108.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
108.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
108.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
107.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
107.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
107.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
107.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
106.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
106.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
106.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
106.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
106.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
105.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
105.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
105.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
105.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
105.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
104.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
103.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
103.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
103.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
103.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
103.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
102.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
101.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
101.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
101.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
101.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
100.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
100.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
100.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
100.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
99.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
99.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
99.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
99.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
99.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
99.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
98.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
98.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
98.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
98.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
97.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
97.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
97.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
96.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
96.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
96.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
96.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
96.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
95.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
95.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
95.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
95.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
94.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
94.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
94.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
93.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
93.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
93.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
93.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
93.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
93.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
92.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
92.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
92.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
92.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
91.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
91.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
90.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
90.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
90.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
90.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
89.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
89.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
88.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
88.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
88.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
87.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
87.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
86.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
86.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
86.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
86.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
86.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
85.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
85.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
84.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
84.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
84.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
84.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
83.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
83.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
83.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
83.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
83.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
83.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
82.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
82.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
82.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
82.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
82.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
82.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
81.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
81.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
81.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
81.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
80.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
80.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
79.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
78.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
78.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
78.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
77.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
77.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
77.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
77.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
76.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
76.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
75.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
75.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
74.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
73.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
73.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
73.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
71.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
71.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
71.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
70.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
70.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
69.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
65.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
64.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
63.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
63.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
62.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
61.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
58.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
58.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
57.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
52.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
43.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
38.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
33.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
23.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
23.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
20.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
19.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
17.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
13.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMPRSS2 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
69.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
238.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
216.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
173.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
157.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
132.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
132.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
128.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
123.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
122.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
117.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
110.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
106.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
105.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
105.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
103.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
103.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
102.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
102.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
99.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
94.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
93.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
90.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
88.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
83.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
80.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
76.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
69.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
69.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
68.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
67.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
66.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
66.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
62.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
62.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
58.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
55.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
53.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
52.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
51.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
41.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMPRSS2 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
92.6
Number of samples
207
Samples
Sample
Description
TPM
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
211.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
203.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
187.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
187.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
179.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
174.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
173.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
165.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
163.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
158.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
156.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
155.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
152.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
151.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
150.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
150.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
150.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
149.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
148.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
146.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
146.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
145.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
142.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
141.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
138.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
135.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
133.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
132.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
131.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
131.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
131.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
131.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
130.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
130.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
129.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
129.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
128.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
127.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
125.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
125.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
125.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
124.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
123.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
120.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
119.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
118.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
116.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
116.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
115.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
114.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
114.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
113.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
112.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
112.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
112.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
110.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
109.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
109.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
109.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
109.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
108.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
108.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
108.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
107.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
107.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
106.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
106.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
105.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
105.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
104.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
104.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
104.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
104.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
103.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
103.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
101.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
101.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
100.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
100.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
99.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
98.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
98.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
96.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
95.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
95.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
94.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
94.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
94.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
93.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
92.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
91.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
91.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
91.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
91.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
90.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
89.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
88.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
86.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
86.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
86.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
86.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
86.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
85.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
85.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
84.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
84.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
84.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
84.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
83.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
80.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
79.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
78.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
77.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
77.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
75.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
73.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
70.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
69.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
67.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
67.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
66.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
65.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
63.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
62.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
61.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
57.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
43.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
40.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
33.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
24.2
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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
1.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
