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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.
ATP6AP1 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
105.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
274.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
204.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
196.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
187.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
186.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
185.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
178.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
176.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
172.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
169.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
165.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
164.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
164.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
161.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
159.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
159.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
158.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
157.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
156.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
155.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
153.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
153.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
151.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
151.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
150.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
149.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
149.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
149.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
146.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
144.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
143.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
143.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
143.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
142.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
141.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
141.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
140.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
140.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
139.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
138.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
137.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
136.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
136.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
135.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
133.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
133.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
132.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
132.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
131.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
130.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
129.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
129.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
129.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
128.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
127.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
127.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
127.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
126.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
126.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
126.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
126.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
125.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
124.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
124.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
123.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
122.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
122.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
121.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
120.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
119.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
117.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
116.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
115.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
115.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
115.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
114.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
114.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
113.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
113.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
113.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
113.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
112.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
112.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
112.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
111.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
111.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
110.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
110.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
109.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
109.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
108.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
108.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
108.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
108.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
107.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
107.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
106.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
106.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
106.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
104.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
104.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
104.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
104.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
104.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
103.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
103.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
102.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
102.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
101.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
101.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
101.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
101.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
101.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
101.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
101.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
100.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
100.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
100.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
100.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
100.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
100.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
99.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
98.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
98.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
98.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
98.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
98.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
97.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
97.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
97.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
97.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
97.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
96.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
96.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
95.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
95.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
95.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
95.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
94.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
94.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
94.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
94.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
94.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
93.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
93.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
93.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
93.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
92.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
92.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
92.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
91.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
91.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
91.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
91.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
91.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
91.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
91.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
90.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
90.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
90.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
88.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
88.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
88.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
88.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
87.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
86.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
86.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
86.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
84.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
84.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
84.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
84.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
84.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
81.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
81.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
81.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
81.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
80.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
78.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
78.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
78.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
77.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
77.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
77.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
77.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
76.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
76.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
75.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
74.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
74.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
73.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
71.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
69.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
64.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
63.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
62.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
60.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
60.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
58.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
57.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
50.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
48.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
47.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ATP6AP1 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
79.5
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
259.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
216.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
200.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
179.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
172.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
171.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
166.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
154.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
153.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
152.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
148.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
143.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
141.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
141.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
140.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
139.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
139.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
137.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
135.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
134.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
134.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
133.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
133.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
132.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
129.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
128.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
128.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
126.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
126.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
126.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
125.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
125.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
124.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
123.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
123.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
123.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
122.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
122.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
120.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
120.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
120.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
119.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
118.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
118.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
118.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
118.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
117.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
117.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
117.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
116.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
116.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
115.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
115.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
114.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
114.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
114.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
114.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
113.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
113.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
111.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
110.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
109.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
109.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
109.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
108.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
108.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
108.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
107.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
107.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
107.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
106.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
106.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
106.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
105.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
104.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
103.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
103.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
103.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
102.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
102.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
102.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
102.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
101.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
101.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
101.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
101.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
100.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
100.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
99.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
99.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
99.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
98.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
98.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
98.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
98.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
97.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
97.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
96.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
96.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
96.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
96.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
96.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
95.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
95.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
94.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
94.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
93.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
93.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
92.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
91.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
90.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
90.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
90.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
90.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
90.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
90.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
89.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
88.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
88.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
88.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
88.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
88.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
87.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
87.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
87.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
87.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
86.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
86.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
86.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
86.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
85.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
85.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
85.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
85.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
84.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
84.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
84.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
84.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
83.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
83.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
83.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
83.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
83.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
83.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
83.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
82.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
82.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
81.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
80.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
80.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
80.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
80.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
79.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
79.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
79.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
78.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
78.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
78.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
78.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
77.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
77.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
77.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
77.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
77.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
77.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
77.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
76.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
76.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
76.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
76.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
76.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
76.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
76.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
75.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
75.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
74.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
74.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
74.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
74.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
74.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
73.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
73.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
73.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
73.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
73.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
73.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
72.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
72.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
72.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
70.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
69.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
68.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
68.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
68.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
67.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
67.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
66.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
66.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
65.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
65.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
65.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
65.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
65.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
64.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
64.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
64.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
63.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
62.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
62.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
59.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
59.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
59.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
59.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
59.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
59.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
57.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
56.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
54.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
52.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
51.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
45.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.0
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.
ATP6AP1 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
105.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
208.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
183.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
182.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
167.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
163.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
154.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
151.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
147.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
146.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
145.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
145.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
144.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
140.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
140.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
130.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
129.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
129.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
127.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
127.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
126.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
126.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
123.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
121.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
120.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
119.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
119.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
118.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
118.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
117.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
115.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
115.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
114.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
114.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
113.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
112.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
109.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
109.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
105.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
105.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
103.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
102.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
101.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
100.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
99.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
99.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
96.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
96.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
94.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
93.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
92.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
91.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
91.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
91.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
91.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
91.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
90.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
89.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
88.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
88.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
87.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
87.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
86.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
85.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
83.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
81.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
81.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
81.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
80.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
78.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
78.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
73.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
73.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
71.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
67.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
55.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
52.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATP6AP1 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
70.9
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
239.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
181.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
143.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
139.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
131.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
126.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
125.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
121.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
113.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
110.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
109.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
108.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
108.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
106.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
105.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
104.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
103.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
102.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
102.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
101.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
100.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
100.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
100.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
99.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
99.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
97.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
97.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
95.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
93.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
90.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
90.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
88.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
87.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
87.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
86.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
85.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
83.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
82.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
78.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
78.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
78.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
77.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
74.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
73.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
72.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
71.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
71.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
71.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
70.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
70.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
69.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
69.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
67.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
67.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
66.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
65.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
65.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
64.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
63.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
63.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
62.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
62.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
62.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
62.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
58.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
58.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
52.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
45.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.