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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.
ATP6V1G1 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
91.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
195.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
183.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
164.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
156.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
150.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
147.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
146.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
145.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
143.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
143.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
141.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
141.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
140.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
136.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
134.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
131.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
131.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
130.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
130.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
130.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
128.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
126.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
123.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
121.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
120.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
119.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
119.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
118.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
118.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
117.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
116.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
116.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
116.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
115.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
114.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
114.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
114.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
112.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
112.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
111.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
111.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
110.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
110.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
109.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
109.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
109.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
108.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
108.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
108.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
107.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
107.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
106.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
105.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
105.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
104.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
104.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
103.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
103.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
102.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
102.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
101.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
101.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
101.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
100.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
99.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
99.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
98.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
98.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
98.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
98.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
97.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
97.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
97.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
97.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
97.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
96.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
95.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
95.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
95.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
94.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
94.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
93.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
92.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
92.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
92.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
92.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
92.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
92.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
91.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
91.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
91.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
90.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
90.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
90.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
89.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
89.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
89.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
88.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
88.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
88.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
88.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
88.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
87.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
87.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
87.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
87.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
87.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
86.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
86.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
86.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
86.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
85.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
85.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
85.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
85.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
85.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
85.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
84.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
84.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
84.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
84.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
84.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
84.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
84.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
84.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
84.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
83.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
83.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
82.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
82.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
82.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
81.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
81.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
81.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
80.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
80.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
80.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
80.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
80.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
80.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
80.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
79.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
79.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
79.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
79.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
79.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
78.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
78.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
78.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
78.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
77.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
77.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
77.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
77.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
77.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
77.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
77.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
76.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
76.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
76.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
76.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
75.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
74.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
74.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
74.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
74.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
74.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
74.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
73.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
73.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
72.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
71.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
71.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
71.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
70.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
70.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
67.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
67.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
66.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
64.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
64.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
63.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
61.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
60.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
59.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
58.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
56.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
56.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
54.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 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.
ATP6V1G1 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
69.3
Number of samples
486
Samples
Sample
Description
TPM
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
127.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
126.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
125.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
123.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
120.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
120.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
115.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
112.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
110.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
110.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
109.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
108.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
108.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
107.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
105.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
104.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
103.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
103.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
103.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
103.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
102.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
102.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
101.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
101.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
100.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
100.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
100.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
100.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
100.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
99.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
98.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
97.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
95.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
95.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
95.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
95.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
94.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
94.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
94.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
94.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
93.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
93.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
92.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
92.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
91.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
91.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
91.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
91.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
90.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
89.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
89.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
89.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
88.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
88.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
88.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
88.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
87.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
87.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
86.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
86.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
85.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
85.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
84.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
84.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
84.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
83.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
83.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
82.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
82.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
82.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
82.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
82.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
81.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
81.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
81.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
81.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
81.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
81.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
80.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
79.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
79.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
79.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
78.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
78.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
78.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
77.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
77.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
77.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
77.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
76.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
76.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
76.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
76.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
76.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
76.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
75.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
75.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
75.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
74.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
74.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
74.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
74.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
74.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
74.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
73.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
73.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
72.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
72.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
71.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
71.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
71.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
71.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
70.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
70.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
69.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
69.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
69.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
69.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
69.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
68.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
67.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
67.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
67.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
66.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
64.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
64.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
64.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
63.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
63.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
62.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
60.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
60.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
60.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
60.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
59.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
58.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
56.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
55.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
55.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
50.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
48.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
45.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
44.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
43.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
ATP6V1G1 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
100.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
226.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
166.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
158.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
153.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
147.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
140.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
135.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
134.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
134.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
127.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
125.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
124.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
122.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
120.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
119.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
119.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
118.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
116.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
115.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
115.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
114.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
114.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
112.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
111.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
110.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
110.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
109.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
109.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
108.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
106.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
106.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
106.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
104.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
104.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
102.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
101.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
99.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
97.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
97.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
97.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
96.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
96.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
95.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
94.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
94.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
92.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
91.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
90.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
90.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
89.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
89.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
87.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
86.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
86.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
84.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
84.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
83.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
82.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
78.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
76.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
76.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
76.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
74.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
72.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
71.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
71.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
69.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
66.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATP6V1G1 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
63.5
Number of samples
207
Samples
Sample
Description
TPM
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
115.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
112.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
112.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
103.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
103.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
102.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
98.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
96.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
96.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
92.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
92.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
91.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
90.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
88.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
87.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
86.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
86.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
84.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
84.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
82.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
80.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
80.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
79.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
79.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
77.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
76.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
75.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
75.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
74.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
74.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
73.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
72.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
72.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
71.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
71.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
69.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
69.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
69.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
68.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
68.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
67.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
66.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
66.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
65.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
64.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
64.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
62.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
60.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
56.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
54.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
52.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
49.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
49.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
43.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
42.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
39.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
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Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
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Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
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Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
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Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
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Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
