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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.
TPD52 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
87.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
228.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
221.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
206.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
203.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
197.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
184.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
183.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
180.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
176.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
175.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
175.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
175.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
163.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
163.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
161.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
158.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
154.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
153.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
150.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
148.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
147.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
146.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
145.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
145.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
143.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
143.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
143.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
140.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
139.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
137.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
134.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
134.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
131.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
131.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
130.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
129.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
127.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
127.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
126.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
125.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
124.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
124.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
122.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
122.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
121.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
120.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
120.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
119.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
119.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
118.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
116.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
116.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
115.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
115.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
113.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
113.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
112.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
111.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
110.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
110.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
110.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
110.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
109.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
109.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
109.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
109.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
109.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
107.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
106.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
105.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
104.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
103.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
102.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
101.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
101.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
101.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
100.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
99.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
98.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
98.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
95.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
95.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
95.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
95.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
94.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
94.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
92.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
92.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
91.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
91.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
91.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
90.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
89.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
89.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
89.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
89.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
88.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
88.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
87.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
87.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
87.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
86.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
85.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
85.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
85.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
83.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
82.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
81.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
81.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
81.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
79.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
79.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
78.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
78.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
76.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
75.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
75.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
75.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
74.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
73.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
73.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
73.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
72.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
72.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
72.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
71.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
71.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
69.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
69.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
69.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
68.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
67.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
66.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
65.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
65.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
64.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
64.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
62.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
62.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
61.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
61.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
60.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
59.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
58.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
58.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
57.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
57.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
56.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
55.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
54.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
54.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
53.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
53.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
50.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
50.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
48.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
42.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
38.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
36.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
34.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
20.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
TPD52 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
90.7
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
239.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
230.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
227.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
224.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
216.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
203.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
197.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
191.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
190.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
187.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
186.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
185.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
184.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
174.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
172.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
163.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
157.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
157.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
156.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
155.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
154.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
152.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
152.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
152.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
151.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
149.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
149.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
148.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
148.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
146.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
145.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
144.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
143.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
143.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
143.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
143.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
142.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
141.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
141.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
140.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
140.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
140.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
139.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
139.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
138.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
137.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
137.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
137.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
136.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
135.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
133.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
133.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
132.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
131.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
130.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
130.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
130.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
129.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
129.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
128.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
128.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
128.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
128.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
128.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
127.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
127.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
127.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
127.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
126.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
126.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
126.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
125.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
124.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
123.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
123.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
123.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
123.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
123.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
122.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
122.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
121.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
119.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
119.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
119.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
118.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
118.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
118.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
117.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
117.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
117.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
116.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
116.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
116.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
116.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
116.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
115.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
114.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
114.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
114.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
114.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
113.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
113.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
113.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
113.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
112.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
112.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
111.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
110.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
110.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
109.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
109.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
109.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
109.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
108.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
108.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
107.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
107.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
107.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
107.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
106.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
106.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
106.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
106.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
106.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
106.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
106.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
106.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
105.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
105.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
105.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
104.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
104.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
104.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
103.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
103.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
103.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
103.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
103.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
103.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
102.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
102.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
102.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
101.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
101.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
101.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
100.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
100.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
100.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
100.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
100.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
99.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
99.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
98.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
98.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
98.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
98.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
98.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
97.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
97.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
97.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
96.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
96.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
96.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
96.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
96.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
96.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
96.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
95.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
95.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
95.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
95.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
95.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
95.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
95.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
94.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
94.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
93.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
93.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
93.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
93.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
93.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
93.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
93.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
93.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
92.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
92.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
92.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
92.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
92.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
92.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
92.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
92.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
91.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
91.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
91.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
91.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
91.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
90.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
90.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
90.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
89.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
89.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
88.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
88.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
88.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
87.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
87.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
87.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
86.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
86.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
85.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
85.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
85.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
84.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
83.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
83.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
83.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
82.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
82.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
81.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
81.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
80.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
80.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
80.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
80.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
80.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
80.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
79.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
79.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
79.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
79.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
79.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
79.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
78.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
78.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
77.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
77.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
77.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
77.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
76.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
76.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
76.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
76.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
76.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
76.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
75.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
75.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
75.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
74.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
74.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
74.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
73.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
72.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
72.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
71.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
71.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
70.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
70.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
68.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
68.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
68.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
68.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
67.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
67.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
67.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
64.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
64.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
63.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
63.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
61.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
60.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
60.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
59.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
57.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
53.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
47.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
42.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
39.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
28.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TPD52 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
89.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
323.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
207.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
199.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
197.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
179.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
161.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
155.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
146.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
144.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
141.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
139.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
132.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
132.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
131.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
127.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
126.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
125.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
120.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
119.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
113.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
108.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
106.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
104.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
102.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
102.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
101.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
99.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
95.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
92.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
92.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
91.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
90.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
88.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
87.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
87.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
84.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
82.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
82.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
82.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
81.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
81.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
78.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
78.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
78.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
77.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
75.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
75.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
74.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
73.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
72.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
70.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
68.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
66.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
63.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
61.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
58.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
56.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
50.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
50.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
44.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.0
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.
TPD52 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
90.3
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
328.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
281.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
237.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
221.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
177.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
170.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
166.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
166.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
162.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
162.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
154.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
152.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
151.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
151.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
150.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
145.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
145.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
144.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
143.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
143.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
143.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
142.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
140.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
140.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
140.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
138.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
137.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
132.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
131.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
128.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
128.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
126.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
126.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
125.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
120.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
118.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
117.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
117.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
116.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
113.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
113.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
113.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
111.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
111.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
110.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
110.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
110.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
109.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
109.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
109.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
109.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
107.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
106.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
105.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
104.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
102.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
101.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
100.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
100.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
100.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
100.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
98.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
98.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
97.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
97.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
96.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
96.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
96.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
95.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
95.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
94.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
94.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
93.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
93.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
91.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
91.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
90.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
88.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
87.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
87.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
86.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
85.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
84.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
83.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
83.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
82.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
82.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
82.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
80.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
79.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
78.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
78.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
78.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
78.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
76.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
75.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
74.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
74.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
73.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
72.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
72.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
70.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
70.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
70.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
69.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
68.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
68.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
65.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
64.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
63.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
63.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
62.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
60.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
57.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
47.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
45.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.8
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
