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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.
MRPL9 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
56.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
107.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
105.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
105.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
95.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
93.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
92.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
91.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
87.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
85.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
81.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
78.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
78.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
77.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
77.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
76.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
75.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
75.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
74.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
73.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
73.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
71.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
71.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
70.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
69.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
68.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
68.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
68.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
66.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
66.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
66.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
65.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
65.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
65.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
64.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
64.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
64.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
63.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
63.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
63.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
63.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
62.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
61.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
60.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
60.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
60.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
60.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
60.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
59.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
59.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
59.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
57.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
57.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
57.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
57.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
57.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
56.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
56.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
56.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
55.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
55.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
55.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
55.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
54.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
53.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
53.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
51.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
50.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
50.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
50.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
50.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
49.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
49.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
48.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
48.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
47.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
47.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
46.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
46.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
46.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
46.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
44.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
44.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
44.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
44.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
43.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
43.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
42.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
42.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
41.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
40.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
40.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
40.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
39.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
36.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
35.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
33.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
29.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
MRPL9 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
35.1
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
62.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
61.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
58.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
55.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
52.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
50.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
48.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
48.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
47.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
45.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
42.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
42.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
39.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
38.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
36.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
36.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
35.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
35.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
35.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
35.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
34.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
34.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
34.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
33.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
32.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
32.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
31.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
31.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
31.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
30.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
30.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
29.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
29.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
28.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
27.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
27.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
26.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
25.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
25.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
25.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
25.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
25.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
25.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
25.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
24.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
24.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
24.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
24.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
24.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
23.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
23.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
23.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
23.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
22.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
22.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
22.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
21.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
21.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
21.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
20.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
20.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
18.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
14.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
MRPL9 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
57.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
103.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
95.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
92.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
89.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
86.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
82.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
76.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
75.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
74.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
71.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
71.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
68.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
67.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
66.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
66.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
66.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
65.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
63.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
61.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
60.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
59.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
58.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
57.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
56.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
56.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
55.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
55.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
47.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
46.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
45.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
43.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
42.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
38.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
28.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
MRPL9 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
31.3
Number of samples
207
Samples
Sample
Description
TPM
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
57.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
56.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
39.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
38.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
34.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
34.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
34.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
33.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
32.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
32.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
30.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
28.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
28.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
27.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
27.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
27.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
27.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
26.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
26.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
25.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
25.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
24.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
24.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
23.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
22.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
20.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
18.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
18.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
18.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
18.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
17.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
17.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
16.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
14.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
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Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
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Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
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Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
