We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
GPA33 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
101.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
577.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
420.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
324.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
321.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
316.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
315.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
290.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
280.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
276.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
267.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
264.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
262.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
253.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
243.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
238.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
233.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
229.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
224.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
223.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
221.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
219.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
217.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
210.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
207.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
207.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
207.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
204.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
192.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
189.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
189.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
186.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
185.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
183.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
182.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
179.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
177.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
177.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
176.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
171.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
165.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
165.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
165.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
164.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
160.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
160.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
158.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
157.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
157.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
155.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
155.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
153.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
150.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
147.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
144.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
143.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
142.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
142.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
141.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
141.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
141.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
141.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
140.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
140.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
138.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
136.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
136.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
136.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
134.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
134.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
133.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
133.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
132.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
132.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
131.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
131.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
131.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
131.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
129.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
127.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
123.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
123.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
123.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
122.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
121.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
120.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
118.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
115.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
115.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
115.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
115.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
115.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
115.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
113.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
112.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
112.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
111.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
107.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
107.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
106.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
105.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
104.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
104.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
103.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
101.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
101.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
101.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
99.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
96.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
96.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
94.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
92.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
91.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
88.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
87.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
85.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
85.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
84.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
84.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
83.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
82.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
82.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
82.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
80.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
80.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
79.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
79.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
78.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
73.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
72.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
70.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
69.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
69.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
68.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
67.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
65.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
64.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
61.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
58.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
57.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
57.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
55.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
54.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
54.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
51.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
50.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
50.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
44.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
42.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
42.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
41.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
39.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
38.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
37.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
32.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
30.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
28.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
22.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
22.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
11.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
7.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 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.
GPA33 is potential prognostic, high expression is favorable 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
100.3
Number of samples
486
Samples
Sample
Description
TPM
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
391.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
378.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
315.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
312.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
307.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
304.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
286.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
280.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
275.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
275.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
264.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
258.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
249.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
248.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
247.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
240.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
239.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
237.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
235.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
234.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
233.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
233.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
231.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
228.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
228.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
226.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
224.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
220.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
219.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
219.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
219.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
213.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
213.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
211.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
210.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
209.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
209.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
209.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
206.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
204.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
203.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
201.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
199.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
197.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
193.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
192.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
192.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
190.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
190.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
190.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
190.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
189.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
189.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
188.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
188.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
187.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
187.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
183.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
180.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
178.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
178.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
178.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
175.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
174.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
172.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
171.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
171.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
170.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
169.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
168.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
168.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
167.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
165.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
165.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
165.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
162.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
162.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
161.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
160.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
160.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
160.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
158.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
158.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
157.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
156.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
156.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
156.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
155.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
154.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
154.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
153.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
153.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
151.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
151.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
149.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
149.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
148.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
145.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
144.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
144.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
143.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
143.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
141.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
141.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
141.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
141.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
140.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
139.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
138.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
138.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
138.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
137.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
137.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
137.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
136.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
136.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
135.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
135.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
135.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
135.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
135.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
135.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
134.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
134.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
133.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
133.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
132.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
130.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
129.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
129.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
129.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
128.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
127.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
126.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
126.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
126.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
126.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
126.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
126.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
125.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
124.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
124.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
123.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
123.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
123.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
122.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
122.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
122.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
122.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
121.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
121.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
120.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
120.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
120.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
119.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
119.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
119.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
119.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
119.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
119.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
118.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
118.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
118.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
117.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
117.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
117.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
117.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
116.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
116.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
115.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
115.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
115.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
115.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
113.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
112.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
111.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
110.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
109.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
109.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
109.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
109.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
107.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
106.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
104.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
104.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
104.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
103.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
103.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
102.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
101.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
101.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
101.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
101.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
100.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
99.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
99.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
99.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
99.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
98.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
98.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
96.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
96.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
95.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
95.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
95.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
94.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
93.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
93.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
93.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
92.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
92.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
91.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
90.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
89.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
89.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
89.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
88.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
88.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
87.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
87.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
87.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
86.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
85.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
83.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
82.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
82.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
82.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
82.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
81.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
81.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
81.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
80.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
80.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
78.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
77.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
77.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
76.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
75.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
75.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
75.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
74.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
74.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
73.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
72.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
72.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
72.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
71.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
70.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
69.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
67.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
67.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
66.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
65.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
64.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
64.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
62.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
52.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
44.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
40.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
35.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
29.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
26.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
24.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
23.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
23.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
21.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
21.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
20.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
20.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
18.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
18.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
18.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
18.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
17.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
17.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
17.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
16.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
15.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
15.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
12.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
12.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
12.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
11.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
10.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
10.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
9.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
8.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
6.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
6.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GPA33 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
91.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
335.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
263.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
243.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
237.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
231.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
226.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
200.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
197.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
190.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
187.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
172.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
156.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
156.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
153.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
152.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
144.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
138.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
135.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
131.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
131.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
124.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
123.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
114.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
113.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
113.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
102.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
100.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
98.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
95.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
94.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
94.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
93.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
89.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
86.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
86.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
85.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
84.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
82.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
82.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
80.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
75.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
71.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
66.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
62.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
53.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
36.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
26.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
7.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
GPA33 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
95.5
Number of samples
207
Samples
Sample
Description
TPM
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
356.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
288.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
264.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
229.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
224.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
220.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
218.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
212.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
211.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
207.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
202.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
201.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
200.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
198.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
194.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
194.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
193.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
190.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
187.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
185.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
184.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
178.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
177.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
173.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
173.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
172.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
169.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
165.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
164.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
158.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
157.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
155.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
153.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
150.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
147.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
146.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
146.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
145.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
145.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
145.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
139.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
139.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
138.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
133.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
133.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
132.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
130.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
127.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
126.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
126.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
125.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
125.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
125.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
125.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
125.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
124.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
124.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
123.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
122.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
121.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
120.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
119.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
117.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
117.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
115.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
115.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
114.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
114.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
113.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
112.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
109.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
107.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
107.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
105.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
105.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
105.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
104.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
104.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
103.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
102.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
102.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
101.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
98.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
98.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
97.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
97.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
97.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
96.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
95.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
93.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
93.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
92.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
92.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
91.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
91.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
89.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
89.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
88.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
88.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
87.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
86.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
84.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
83.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
81.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
78.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
77.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
75.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
74.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
73.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
73.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
69.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
67.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
66.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
66.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
66.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
64.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
62.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
60.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
55.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
21.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
17.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
17.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
16.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
11.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
1.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.8
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-2.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-2.1
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
