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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.
ERBB2 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
72.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
917.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
879.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
197.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
192.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
172.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
153.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
149.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
134.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
132.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
128.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
126.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
125.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
121.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
115.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
112.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
110.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
108.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
107.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
100.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
99.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
98.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
96.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
96.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
96.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
95.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
94.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
94.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
94.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
91.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
91.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
91.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
90.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
90.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
90.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
88.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
88.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
87.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
87.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
86.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
86.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
85.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
84.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
84.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
84.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
83.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
81.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
80.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
80.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
79.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
79.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
79.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
78.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
78.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
78.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
77.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
76.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
76.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
76.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
74.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
74.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
74.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
73.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
72.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
72.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
71.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
71.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
70.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
69.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
69.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
69.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
68.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
68.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
68.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
68.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
68.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
68.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
67.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
66.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
66.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
65.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
65.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
65.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
64.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
64.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
64.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
64.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
62.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
62.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
61.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
60.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
60.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
59.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
59.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
56.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
56.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
56.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
56.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
56.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
55.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
55.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
55.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
54.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
52.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
52.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
50.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
48.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
46.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
45.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
44.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
44.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
44.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
44.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
44.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
40.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
38.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
38.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
38.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
32.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
30.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
30.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
30.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
27.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
ERBB2 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
91.5
Number of samples
486
Samples
Sample
Description
TPM
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
2670.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1313.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1060.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
734.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
613.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
587.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
364.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
199.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
192.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
180.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
171.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
169.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
166.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
163.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
162.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
159.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
155.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
152.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
151.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
151.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
150.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
149.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
149.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
147.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
145.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
145.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
144.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
140.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
138.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
136.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
135.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
134.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
134.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
133.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
133.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
133.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
132.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
129.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
128.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
127.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
126.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
125.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
125.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
124.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
124.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
124.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
123.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
123.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
122.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
122.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
121.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
120.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
120.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
120.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
118.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
118.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
117.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
117.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
115.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
114.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
114.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
113.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
113.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
112.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
112.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
110.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
110.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
109.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
109.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
109.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
107.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
107.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
107.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
107.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
106.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
106.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
106.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
106.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
106.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
106.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
106.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
105.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
105.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
104.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
104.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
104.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
104.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
104.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
104.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
103.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
103.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
103.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
103.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
103.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
103.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
102.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
102.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
102.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
102.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
101.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
100.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
100.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
99.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
99.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
98.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
98.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
98.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
98.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
98.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
97.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
96.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
96.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
96.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
96.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
96.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
95.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
94.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
94.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
94.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
92.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
91.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
91.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
90.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
89.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
89.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
89.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
89.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
88.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
88.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
87.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
87.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
86.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
86.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
86.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
86.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
85.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
84.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
84.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
84.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
84.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
83.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
83.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
83.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
82.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
82.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
82.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
81.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
81.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
80.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
80.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
80.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
79.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
79.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
79.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
79.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
78.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
78.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
77.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
77.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
76.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
76.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
75.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
75.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
74.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
73.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
73.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
73.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
72.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
72.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
71.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
71.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
71.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
70.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
69.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
69.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
69.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
69.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
68.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
68.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
68.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
68.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
68.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
68.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
67.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
67.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
67.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
65.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
65.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
64.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
63.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
62.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
62.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
60.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
58.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
57.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
56.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
54.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
52.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
51.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
51.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
40.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
38.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
33.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
14.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
12.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ERBB2 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
168.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5267.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2092.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1185.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1155.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
126.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
108.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
104.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
103.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
102.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
100.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
96.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
92.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
92.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
90.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
87.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
81.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
81.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
78.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
78.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
76.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
74.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
74.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
71.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
69.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
68.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
67.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
67.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
67.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
67.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
66.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
63.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
63.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
62.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
57.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
57.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
54.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
53.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
48.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
23.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.7
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.
ERBB2 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
97.5
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
2103.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
1576.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1169.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
948.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
935.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
432.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
218.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
165.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
160.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
154.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
150.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
143.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
139.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
136.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
127.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
125.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
118.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
115.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
114.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
114.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
108.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
108.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
106.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
102.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
100.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
99.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
98.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
97.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
96.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
95.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
94.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
93.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
93.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
87.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
85.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
84.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
83.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
81.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
81.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
81.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
81.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
79.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
78.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
76.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
75.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
75.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
71.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
70.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
68.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
67.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
67.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
62.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
62.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
62.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
57.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
56.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
54.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
51.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
44.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
40.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
40.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
35.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
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
