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.
TRPC4AP 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
57.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
138.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
133.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
125.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
124.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
111.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
105.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
104.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
103.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
100.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
100.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
99.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
98.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
98.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
98.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
96.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
94.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
94.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
93.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
93.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
91.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
91.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
91.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
90.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
87.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
87.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
86.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
85.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
83.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
82.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
80.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
79.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
79.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
79.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
79.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
79.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
77.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
77.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
76.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
75.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
74.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
73.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
73.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
72.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
70.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
69.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
68.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
67.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
67.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
66.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
65.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
65.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
64.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
64.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
63.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
63.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
62.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
59.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
59.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
58.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
57.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
57.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
55.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
55.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
55.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
54.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
54.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
54.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
51.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
50.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
49.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
49.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
49.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
48.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
47.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
47.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
46.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
46.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
44.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
42.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
42.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
41.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
40.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
39.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
38.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
37.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
37.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
37.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
37.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
36.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
36.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
36.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
32.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
29.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
28.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
TRPC4AP 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
56.3
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
163.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
131.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
131.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
115.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
115.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
110.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
103.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
102.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
102.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
98.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
95.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
94.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
93.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
93.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
92.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
91.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
90.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
87.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
87.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
83.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
82.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
82.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
81.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
79.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
79.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
79.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
78.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
78.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
77.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
77.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
76.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
76.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
75.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
75.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
75.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
73.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
73.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
73.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
72.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
71.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
70.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
70.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
70.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
68.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
68.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
68.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
67.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
66.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
66.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
65.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
65.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
65.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
65.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
65.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
64.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
63.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
63.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
63.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
62.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
61.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
61.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
61.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
61.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
60.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
60.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
60.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
60.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
60.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
59.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
59.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
59.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
58.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
58.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
57.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
57.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
57.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
56.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
56.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
55.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
54.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
54.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
53.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
53.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
53.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
52.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
52.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
51.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
49.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
46.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
44.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
42.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
38.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
37.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
36.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
33.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
31.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
29.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRPC4AP is potential prognostic, high expression is favorable 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
62.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
152.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
109.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
108.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
102.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
98.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
88.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
87.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
84.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
83.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
82.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
80.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
80.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
79.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
79.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
76.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
75.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
71.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
71.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
70.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
68.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
67.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
66.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
66.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
63.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
63.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
61.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
60.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
56.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
56.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
52.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
51.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
51.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
50.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
48.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
45.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
44.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
19.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
TRPC4AP 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
57.4
Number of samples
207
Samples
Sample
Description
TPM
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
108.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
104.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
102.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
100.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
93.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
91.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
89.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
87.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
87.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
85.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
82.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
82.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
80.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
80.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
78.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
78.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
76.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
75.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
74.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
74.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
74.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
73.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
72.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
71.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
70.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
69.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
68.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
68.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
68.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
66.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
65.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
64.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
64.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
62.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
59.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
58.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
57.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
56.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
56.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
56.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
55.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
53.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
52.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
50.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
49.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
48.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
45.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
