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.
PHC2 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
55.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
140.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
132.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
122.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
115.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
112.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
107.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
101.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
94.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
93.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
92.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
88.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
87.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
87.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
87.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
86.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
83.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
82.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
80.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
78.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
78.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
78.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
77.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
76.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
75.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
75.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
71.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
71.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
71.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
70.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
70.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
69.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
68.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
67.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
67.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
66.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
65.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
65.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
64.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
64.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
63.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
62.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
62.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
61.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
61.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
61.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
61.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
61.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
60.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
60.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
60.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
59.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
59.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
59.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
56.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
56.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
55.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
55.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
54.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
54.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
53.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
53.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
52.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
52.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
52.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
52.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
52.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
50.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
50.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
50.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
49.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
48.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
45.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
45.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
44.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
44.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
43.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
42.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
41.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
41.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
40.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
36.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
36.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
27.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PHC2 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
57.2
Number of samples
486
Samples
Sample
Description
TPM
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
139.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
127.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
116.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
113.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
113.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
111.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
104.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
99.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
96.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
96.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
95.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
95.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
92.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
90.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
90.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
88.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
88.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
88.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
88.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
88.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
87.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
87.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
86.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
86.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
86.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
85.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
85.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
85.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
84.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
84.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
83.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
81.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
81.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
80.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
80.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
79.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
78.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
77.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
76.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
74.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
74.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
70.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
70.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
70.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
70.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
69.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
69.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
68.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
68.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
67.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
66.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
66.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
65.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
64.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
64.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
64.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
64.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
63.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
63.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
63.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
62.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
62.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
62.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
62.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
61.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
61.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
61.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
61.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
60.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
58.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
57.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
57.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
56.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
54.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
54.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
52.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
51.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
51.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
50.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
49.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
48.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
46.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
45.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
44.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
41.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
40.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
40.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
39.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
38.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
37.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
34.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
30.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
26.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
24.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
20.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
PHC2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
53.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
103.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
100.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
94.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
89.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
88.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
81.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
71.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
70.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
70.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
69.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
68.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
64.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
64.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
62.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
62.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
62.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
61.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
60.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
57.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
57.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
55.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
55.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
55.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
54.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
53.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
51.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
43.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
41.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
41.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
41.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
38.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
37.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
32.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
PHC2 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
48.0
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
145.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
104.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
102.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
88.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
84.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
80.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
78.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
76.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
76.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
75.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
72.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
70.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
66.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
66.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
62.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
61.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
60.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
55.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
54.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
53.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
51.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
48.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
47.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
46.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
43.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
40.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
36.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
28.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
22.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
20.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
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
