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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.
SDHC is potential prognostic, high expression is favorable 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
113.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
268.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
242.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
230.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
225.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
199.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
187.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
186.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
184.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
181.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
180.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
175.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
175.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
170.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
165.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
164.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
161.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
158.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
156.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
156.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
156.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
155.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
155.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
154.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
152.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
151.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
151.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
150.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
147.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
147.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
145.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
145.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
145.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
144.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
144.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
142.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
142.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
142.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
141.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
140.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
139.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
139.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
139.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
138.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
138.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
137.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
137.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
136.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
135.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
135.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
134.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
133.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
133.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
132.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
132.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
132.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
132.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
132.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
132.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
131.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
130.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
129.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
129.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
128.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
128.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
127.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
127.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
127.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
126.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
126.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
126.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
126.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
125.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
125.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
124.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
124.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
124.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
124.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
124.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
123.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
123.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
123.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
123.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
123.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
123.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
123.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
123.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
122.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
122.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
121.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
121.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
121.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
121.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
120.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
120.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
120.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
119.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
119.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
119.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
118.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
118.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
117.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
117.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
117.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
117.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
117.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
117.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
117.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
116.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
116.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
116.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
116.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
116.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
116.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
116.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
115.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
115.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
114.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
114.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
113.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
113.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
112.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
112.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
112.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
112.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
111.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
111.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
110.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
110.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
110.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
109.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
109.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
109.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
109.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
107.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
106.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
106.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
106.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
106.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
105.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
105.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
105.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
105.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
104.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
104.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
103.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
102.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
102.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
102.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
102.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
102.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
101.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
101.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
101.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
101.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
101.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
101.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
101.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
100.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
100.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
100.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
100.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
100.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
100.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
100.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
98.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
98.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
97.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
97.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
97.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
97.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
96.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
96.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
96.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
96.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
95.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
95.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
94.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
94.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
93.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
93.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
92.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
92.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
91.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
91.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
91.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
91.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
91.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
90.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
90.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
90.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
88.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
88.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
87.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
86.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
86.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
86.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
85.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
85.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
85.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
84.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
83.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
82.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
80.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
80.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
79.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
79.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
78.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
78.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
77.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
76.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
76.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
75.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
75.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
74.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
73.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
73.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
70.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
70.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
69.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
66.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
61.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
58.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
57.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
SDHC 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
78.9
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
196.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
154.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
153.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
142.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
139.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
137.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
135.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
135.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
133.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
132.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
130.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
129.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
127.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
123.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
123.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
121.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
118.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
118.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
117.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
116.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
116.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
115.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
115.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
114.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
114.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
113.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
112.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
112.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
112.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
111.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
111.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
110.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
110.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
109.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
109.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
108.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
107.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
107.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
107.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
107.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
107.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
106.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
105.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
105.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
105.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
104.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
104.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
104.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
103.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
103.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
102.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
102.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
102.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
102.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
101.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
100.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
100.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
100.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
99.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
99.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
99.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
99.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
99.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
98.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
98.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
98.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
98.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
98.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
97.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
97.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
97.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
96.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
96.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
95.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
95.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
94.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
94.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
94.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
94.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
94.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
94.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
93.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
93.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
93.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
93.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
92.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
92.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
92.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
91.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
91.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
91.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
91.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
91.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
91.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
89.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
89.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
89.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
89.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
88.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
88.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
88.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
88.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
88.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
88.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
88.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
87.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
87.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
87.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
87.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
86.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
86.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
85.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
85.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
85.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
85.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
84.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
84.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
84.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
84.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
84.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
84.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
83.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
83.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
83.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
82.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
82.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
82.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
82.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
81.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
81.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
81.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
81.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
81.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
81.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
81.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
80.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
80.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
80.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
80.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
80.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
79.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
79.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
79.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
78.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
78.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
78.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
77.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
77.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
77.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
77.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
76.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
76.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
76.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
76.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
76.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
75.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
75.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
75.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
75.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
75.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
75.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
74.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
74.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
74.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
74.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
73.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
73.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
73.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
72.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
72.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
71.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
71.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
70.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
70.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
70.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
70.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
70.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
69.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
69.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
69.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
69.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
68.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
67.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
66.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
66.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
66.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
65.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
65.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
64.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
64.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
64.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
64.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
63.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
63.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
62.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
62.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
62.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
61.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
60.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
59.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
58.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
58.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
55.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
53.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
48.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
46.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
38.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
SDHC 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
114.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
203.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
197.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
191.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
171.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
171.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
166.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
164.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
158.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
156.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
151.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
149.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
148.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
147.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
147.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
146.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
146.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
143.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
142.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
139.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
139.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
139.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
137.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
136.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
136.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
136.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
135.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
132.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
129.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
129.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
128.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
124.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
122.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
121.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
120.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
119.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
119.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
117.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
116.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
116.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
114.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
112.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
112.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
112.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
111.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
111.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
111.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
111.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
110.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
108.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
106.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
105.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
105.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
103.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
103.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
103.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
102.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
101.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
100.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
100.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
99.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
99.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
92.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
89.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
89.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
86.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
85.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
82.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
78.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
78.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
78.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
76.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
74.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
74.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
72.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
70.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
70.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
67.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
65.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
63.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
54.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
43.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SDHC 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
68.5
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
135.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
120.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
119.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
118.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
115.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
115.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
104.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
104.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
101.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
98.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
98.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
95.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
95.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
95.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
95.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
94.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
93.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
92.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
92.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
90.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
89.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
89.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
88.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
87.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
87.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
87.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
87.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
86.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
85.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
84.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
82.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
82.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
80.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
80.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
79.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
79.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
79.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
78.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
78.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
78.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
77.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
77.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
77.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
76.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
76.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
76.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
75.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
74.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
73.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
69.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
69.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
68.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
68.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
68.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
66.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
66.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
66.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
66.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
65.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
64.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
61.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
61.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
59.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
58.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
56.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
56.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
56.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
55.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
53.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
52.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
51.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
51.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
50.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
47.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
43.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
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Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
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Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
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Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
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Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
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Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
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Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
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Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
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Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
