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.
PYCARD 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
83.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
367.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
346.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
267.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
261.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
252.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
228.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
211.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
197.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
186.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
176.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
172.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
167.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
159.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
158.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
158.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
157.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
157.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
156.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
153.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
152.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
149.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
147.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
147.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
143.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
142.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
140.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
139.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
139.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
137.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
137.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
137.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
137.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
137.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
135.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
135.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
134.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
132.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
129.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
122.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
122.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
117.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
116.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
115.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
115.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
113.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
111.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
111.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
111.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
111.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
110.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
110.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
109.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
108.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
108.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
108.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
106.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
105.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
105.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
104.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
103.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
100.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
100.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
100.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
98.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
98.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
98.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
97.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
97.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
97.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
96.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
96.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
95.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
94.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
94.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
93.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
93.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
92.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
92.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
90.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
90.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
89.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
88.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
87.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
86.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
86.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
86.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
85.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
85.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
84.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
84.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
83.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
83.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
83.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
83.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
83.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
82.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
82.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
82.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
81.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
81.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
81.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
80.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
78.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
77.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
77.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
76.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
76.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
75.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
75.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
74.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
74.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
74.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
73.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
73.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
73.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
73.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
72.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
72.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
72.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
72.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
72.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
69.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
69.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
69.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
69.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
69.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
67.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
66.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
64.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
61.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
60.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
58.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
57.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
57.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
57.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
56.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
54.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
53.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
53.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
51.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
50.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
46.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
44.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
43.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
38.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
36.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
33.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
32.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PYCARD is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
49.5
Number of samples
486
Samples
Sample
Description
TPM
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
140.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
126.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
121.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
115.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
113.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
112.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
112.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
110.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
107.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
106.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
106.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
105.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
103.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
103.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
102.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
101.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
99.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
99.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
95.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
93.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
92.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
91.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
90.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
90.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
89.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
88.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
88.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
80.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
77.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
77.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
76.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
76.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
73.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
73.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
73.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
73.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
72.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
72.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
72.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
72.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
71.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
71.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
70.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
70.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
70.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
69.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
68.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
64.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
64.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
64.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
63.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
63.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
62.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
61.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
61.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
61.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
61.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
60.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
60.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
59.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
58.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
58.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
57.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
56.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
53.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
52.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
50.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
49.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
48.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
47.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
45.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
37.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
36.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
32.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
30.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
30.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
29.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
29.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
29.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
27.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
27.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
27.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
26.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
26.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
25.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
25.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
25.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
24.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
24.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
23.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
23.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
23.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
22.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
22.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
21.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
20.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
19.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
18.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
18.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
17.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
17.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
17.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
17.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
16.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
14.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
13.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
12.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
11.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
11.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
11.5
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.
PYCARD 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
74.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
241.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
205.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
162.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
154.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
153.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
149.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
147.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
145.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
117.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
111.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
103.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
103.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
102.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
102.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
100.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
96.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
95.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
94.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
92.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
92.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
90.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
90.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
88.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
87.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
86.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
85.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
78.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
76.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
76.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
75.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
73.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
72.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
70.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
69.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
64.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
62.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
61.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
60.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
59.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
59.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
55.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
54.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
53.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
52.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
50.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
48.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
46.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
45.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
40.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
39.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 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.
PYCARD 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
41.7
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
142.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
117.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
115.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
99.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
95.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
89.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
86.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
82.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
77.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
75.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
72.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
71.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
68.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
63.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
60.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
56.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
37.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
33.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
22.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
22.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
22.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
19.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
19.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
19.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
19.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
17.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
15.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
14.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.4
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
