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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.
MAF1 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
95.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
269.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
260.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
236.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
233.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
202.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
192.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
192.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
185.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
177.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
176.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
176.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
170.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
170.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
165.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
148.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
148.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
147.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
142.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
141.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
140.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
139.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
139.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
139.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
136.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
136.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
135.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
135.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
135.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
134.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
134.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
131.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
129.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
127.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
127.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
125.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
124.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
123.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
122.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
121.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
121.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
121.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
121.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
120.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
119.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
119.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
118.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
118.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
118.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
117.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
116.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
116.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
115.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
115.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
115.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
113.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
113.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
113.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
112.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
112.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
112.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
111.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
110.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
109.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
109.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
109.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
108.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
107.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
107.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
107.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
107.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
105.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
104.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
104.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
102.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
101.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
101.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
100.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
100.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
100.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
99.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
99.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
99.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
98.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
98.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
98.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
98.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
98.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
97.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
97.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
97.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
96.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
96.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
94.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
94.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
94.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
94.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
94.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
94.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
93.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
93.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
93.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
93.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
93.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
92.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
92.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
92.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
91.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
90.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
90.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
90.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
90.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
90.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
90.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
90.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
89.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
89.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
88.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
88.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
88.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
88.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
88.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
88.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
87.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
87.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
86.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
86.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
85.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
85.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
85.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
85.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
84.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
84.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
83.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
82.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
82.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
82.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
82.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
82.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
81.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
81.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
80.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
80.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
80.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
80.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
80.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
79.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
79.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
79.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
79.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
77.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
77.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
77.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
77.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
76.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
76.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
75.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
75.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
75.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
75.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
74.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
73.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
73.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
73.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
72.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
72.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
72.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
71.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
71.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
69.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
69.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
69.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
68.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
68.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
68.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
64.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
64.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
64.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
62.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
61.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
60.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
58.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
58.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
57.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
57.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
57.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
55.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
52.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
52.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
52.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
51.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 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.
MAF1 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
63.3
Number of samples
486
Samples
Sample
Description
TPM
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
157.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
148.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
143.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
139.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
135.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
130.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
128.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
118.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
118.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
115.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
114.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
107.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
105.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
105.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
105.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
105.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
104.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
104.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
101.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
101.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
100.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
100.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
99.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
98.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
97.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
96.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
95.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
94.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
92.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
92.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
91.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
91.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
91.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
90.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
90.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
90.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
89.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
88.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
87.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
87.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
86.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
86.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
85.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
85.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
83.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
83.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
83.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
80.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
80.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
79.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
79.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
79.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
78.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
77.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
77.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
77.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
77.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
76.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
76.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
76.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
76.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
75.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
74.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
74.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
73.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
73.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
73.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
73.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
72.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
71.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
71.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
71.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
71.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
71.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
70.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
69.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
69.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
69.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
68.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
68.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
67.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
67.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
67.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
66.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
66.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
66.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
64.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
64.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
64.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
63.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
63.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
63.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
63.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
62.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
62.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
62.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
61.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
61.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
60.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
60.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
60.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
59.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
58.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
57.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
57.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
57.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
56.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
54.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
53.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
52.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
51.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
50.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
49.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
43.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
43.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
39.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
38.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAF1 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
99.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
321.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
205.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
169.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
165.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
162.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
159.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
148.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
148.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
141.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
141.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
140.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
140.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
139.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
133.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
131.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
126.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
124.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
124.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
123.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
122.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
121.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
118.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
116.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
116.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
115.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
114.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
111.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
110.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
105.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
105.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
104.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
104.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
104.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
102.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
102.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
99.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
96.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
96.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
96.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
94.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
93.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
92.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
90.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
90.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
90.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
90.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
86.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
84.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
84.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
83.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
83.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
81.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
81.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
79.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
79.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
78.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
77.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
73.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
71.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
69.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
68.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
67.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
67.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
63.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
62.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
62.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
60.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
52.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
52.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
49.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 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.
MAF1 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
58.7
Number of samples
207
Samples
Sample
Description
TPM
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
160.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
140.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
108.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
107.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
104.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
96.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
96.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
95.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
91.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
89.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
87.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
84.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
82.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
81.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
81.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
78.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
77.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
76.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
76.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
76.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
75.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
75.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
74.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
70.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
69.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
65.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
64.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
63.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
61.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
59.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
59.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
53.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
48.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
48.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
47.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
46.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
43.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
