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.
SZRD1 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
54.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
135.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
105.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
95.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
87.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
87.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
87.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
86.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
85.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
82.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
82.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
79.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
79.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
79.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
78.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
78.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
78.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
77.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
76.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
76.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
74.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
74.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
73.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
73.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
72.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
71.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
71.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
71.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
70.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
70.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
70.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
69.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
68.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
67.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
67.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
67.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
67.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
66.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
66.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
65.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
65.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
65.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
64.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
64.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
63.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
63.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
63.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
63.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
62.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
62.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
62.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
62.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
60.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
60.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
58.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
55.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
55.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
55.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
55.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
55.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
54.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
54.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
54.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
54.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
53.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
53.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
53.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
52.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
52.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
52.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
51.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
51.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
50.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
50.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
50.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
49.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
48.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
47.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
47.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
47.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
46.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
45.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
45.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
44.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
44.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
43.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
43.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
43.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
42.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
41.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
39.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
39.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
37.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
36.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
35.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
27.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
21.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
SZRD1 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
65.2
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
127.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
120.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
106.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
104.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
100.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
98.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
96.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
95.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
95.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
94.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
93.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
92.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
92.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
92.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
91.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
91.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
91.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
91.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
89.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
89.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
88.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
88.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
87.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
87.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
87.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
87.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
85.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
85.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
85.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
84.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
84.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
84.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
84.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
83.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
82.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
82.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
82.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
82.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
82.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
82.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
81.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
81.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
81.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
81.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
80.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
80.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
80.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
80.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
80.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
79.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
79.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
79.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
79.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
78.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
78.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
78.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
77.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
77.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
77.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
76.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
76.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
76.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
76.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
75.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
75.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
75.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
75.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
75.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
74.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
74.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
74.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
74.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
74.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
73.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
73.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
72.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
72.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
72.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
72.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
72.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
72.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
71.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
70.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
70.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
69.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
69.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
69.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
69.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
69.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
68.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
67.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
67.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
67.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
67.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
66.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
66.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
66.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
65.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
65.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
64.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
64.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
63.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
63.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
62.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
61.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
61.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
61.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
60.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
60.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
60.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
59.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
59.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
59.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
59.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
58.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
57.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
56.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
56.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
56.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
56.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
55.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
54.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
51.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
50.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
49.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
49.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
46.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
45.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
44.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
44.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
43.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
41.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
35.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
SZRD1 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
51.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
95.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
90.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
82.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
81.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
80.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
79.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
74.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
72.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
69.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
67.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
64.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
64.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
61.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
60.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
58.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
55.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
55.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
53.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
53.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
51.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
49.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
49.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
49.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
49.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
48.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
47.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
45.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
42.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
41.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
38.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
23.6
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.
SZRD1 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
56.0
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
111.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
90.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
88.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
88.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
80.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
76.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
76.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
73.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
73.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
72.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
72.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
70.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
70.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
68.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
68.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
65.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
65.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
64.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
64.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
62.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
62.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
61.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
61.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
60.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
60.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
60.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
59.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
57.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
53.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
52.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
50.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
48.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
41.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
25.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
