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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.
NDUFA10 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
81.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
181.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
157.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
143.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
135.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
134.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
129.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
129.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
128.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
126.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
123.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
123.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
121.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
120.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
120.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
119.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
116.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
115.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
114.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
111.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
111.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
111.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
111.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
110.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
110.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
108.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
107.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
106.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
106.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
106.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
106.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
105.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
105.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
104.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
104.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
104.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
104.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
103.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
103.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
102.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
102.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
102.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
102.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
100.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
100.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
100.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
100.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
100.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
99.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
99.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
99.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
99.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
98.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
98.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
98.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
97.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
97.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
97.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
97.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
96.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
96.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
95.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
95.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
94.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
92.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
92.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
92.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
91.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
91.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
90.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
90.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
90.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
89.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
89.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
89.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
89.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
89.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
88.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
88.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
88.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
88.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
87.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
87.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
87.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
87.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
87.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
86.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
85.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
85.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
85.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
85.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
84.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
83.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
83.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
83.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
83.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
82.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
82.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
82.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
82.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
81.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
81.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
80.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
80.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
79.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
79.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
79.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
79.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
78.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
78.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
78.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
78.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
77.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
77.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
77.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
76.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
76.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
75.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
75.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
74.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
74.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
74.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
74.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
73.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
72.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
72.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
71.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
71.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
71.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
70.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
69.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
69.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
69.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
68.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
68.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
68.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
67.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
67.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
66.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
66.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
65.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
65.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
64.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
63.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
62.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
62.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
62.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
60.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
59.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
58.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
58.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
57.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
57.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
56.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
56.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
54.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
54.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
54.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
51.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
51.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
51.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
48.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
47.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
47.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
41.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
NDUFA10 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
54.2
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
102.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
97.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
92.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
90.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
88.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
88.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
88.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
87.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
86.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
85.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
85.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
84.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
83.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
82.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
81.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
80.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
80.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
80.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
79.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
79.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
77.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
77.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
77.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
76.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
74.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
73.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
73.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
73.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
72.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
72.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
71.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
70.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
70.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
67.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
67.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
66.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
66.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
66.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
66.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
64.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
64.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
63.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
63.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
63.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
62.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
61.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
61.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
60.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
60.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
59.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
59.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
59.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
58.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
58.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
55.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
54.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
51.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
51.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
51.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
49.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
48.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
48.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
47.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
47.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
45.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
45.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
45.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
44.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
38.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
31.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
31.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
26.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
NDUFA10 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
80.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
158.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
134.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
133.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
124.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
118.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
117.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
116.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
114.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
113.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
109.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
108.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
103.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
100.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
99.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
98.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
95.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
90.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
89.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
89.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
89.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
89.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
87.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
86.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
85.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
83.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
83.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
83.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
82.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
81.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
80.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
80.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
79.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
79.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
77.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
77.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
76.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
76.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
76.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
75.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
75.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
74.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
70.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
70.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
70.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
69.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
69.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
66.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
66.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
65.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
64.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
62.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
53.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
48.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
45.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
40.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
NDUFA10 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
47.2
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
107.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
104.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
94.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
86.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
77.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
74.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
71.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
69.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
66.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
64.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
61.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
61.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
60.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
60.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
57.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
54.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
47.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
46.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
42.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
41.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
37.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
25.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
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Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
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Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Normal
0.1
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Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
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Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
