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.
GLRX3 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
59.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
160.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
147.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
141.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
138.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
122.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
122.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
117.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
110.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
100.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
94.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
92.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
90.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
89.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
89.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
87.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
86.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
86.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
84.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
83.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
82.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
81.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
81.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
81.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
79.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
79.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
78.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
76.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
74.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
74.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
74.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
73.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
73.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
72.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
72.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
72.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
71.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
71.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
71.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
70.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
70.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
70.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
70.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
68.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
68.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
67.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
67.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
67.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
66.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
66.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
66.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
66.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
66.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
65.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
65.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
65.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
65.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
64.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
64.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
64.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
64.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
63.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
63.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
62.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
62.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
61.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
60.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
60.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
60.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
60.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
60.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
59.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
59.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
58.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
58.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
58.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
58.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
57.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
55.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
55.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
55.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
55.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
55.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
54.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
54.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
53.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
52.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
52.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
51.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
51.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
51.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
50.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
50.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
50.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
49.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
48.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
48.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
48.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
47.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
47.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
46.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
46.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
45.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
44.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
44.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
44.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
44.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
42.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
42.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
40.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
37.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
36.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 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.
GLRX3 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
42.5
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
93.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
84.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
78.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
74.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
72.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
72.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
69.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
69.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
68.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
68.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
68.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
67.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
65.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
65.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
63.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
63.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
62.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
62.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
61.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
59.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
56.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
55.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
54.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
53.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
50.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
49.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
49.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
47.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
42.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
41.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
40.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
39.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
39.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
38.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
36.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
33.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
33.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
30.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
29.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
29.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
29.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
27.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
27.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
25.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
25.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
25.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
24.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
23.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
23.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
22.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
21.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
21.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
19.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
17.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
14.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
GLRX3 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
59.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
132.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
110.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
107.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
106.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
96.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
92.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
88.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
87.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
85.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
81.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
80.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
80.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
79.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
74.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
73.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
71.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
70.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
70.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
70.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
70.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
67.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
67.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
67.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
66.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
63.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
61.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
58.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
57.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
56.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
54.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
54.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
48.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
47.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
41.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
21.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GLRX3 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
37.0
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
83.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
65.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
56.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
44.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
41.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
37.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
35.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
31.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
31.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
28.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
28.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
26.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
24.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
23.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
19.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
19.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
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.