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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.
PRMT5 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
50.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
143.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
126.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
124.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
122.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
121.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
118.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
117.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
112.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
108.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
99.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
95.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
89.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
88.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
84.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
80.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
77.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
74.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
74.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
74.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
74.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
73.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
73.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
71.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
71.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
71.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
69.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
68.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
68.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
68.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
66.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
66.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
66.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
65.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
64.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
64.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
64.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
63.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
63.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
62.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
62.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
62.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
61.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
61.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
60.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
59.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
59.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
59.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
59.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
58.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
57.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
57.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
57.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
54.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
53.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
53.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
52.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
52.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
52.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
51.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
50.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
50.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
49.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
48.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
47.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
47.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
46.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
46.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
45.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
45.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
44.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
43.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
42.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
42.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
40.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
40.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
39.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
39.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
38.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
38.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
37.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
37.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
37.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
37.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
34.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
34.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
34.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
33.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
32.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
32.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
27.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
26.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
26.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
25.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
25.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
24.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
18.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
PRMT5 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
67.3
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
185.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
167.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
135.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
129.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
129.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
128.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
123.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
121.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
120.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
112.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
110.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
109.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
108.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
107.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
106.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
106.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
105.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
105.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
104.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
104.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
104.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
103.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
103.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
103.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
102.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
102.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
102.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
101.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
101.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
101.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
99.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
99.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
99.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
99.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
98.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
98.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
98.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
98.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
98.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
97.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
96.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
96.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
96.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
96.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
95.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
95.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
95.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
94.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
93.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
93.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
93.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
92.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
92.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
92.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
91.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
90.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
90.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
89.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
89.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
89.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
88.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
88.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
88.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
86.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
86.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
86.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
85.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
84.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
84.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
83.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
83.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
83.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
81.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
80.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
80.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
80.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
79.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
79.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
79.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
78.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
78.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
77.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
76.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
76.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
76.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
75.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
75.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
75.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
74.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
74.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
73.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
73.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
72.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
71.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
70.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
70.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
70.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
70.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
70.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
69.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
69.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
69.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
68.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
67.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
67.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
67.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
67.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
67.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
66.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
66.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
66.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
66.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
65.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
65.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
64.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
64.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
64.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
63.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
62.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
62.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
62.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
61.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
60.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
60.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
58.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
58.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
57.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
56.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
56.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
55.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
55.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
54.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
51.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
51.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
49.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
49.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
49.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
47.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
47.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
47.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
46.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
41.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
40.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
34.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
29.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
PRMT5 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
45.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
163.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
83.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
79.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
72.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
72.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
68.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
67.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
67.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
66.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
61.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
58.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
57.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
56.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
49.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
49.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
42.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
38.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
38.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
37.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
33.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
32.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
21.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PRMT5 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
58.4
Number of samples
207
Samples
Sample
Description
TPM
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
120.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
120.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
114.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
111.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
110.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
107.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
106.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
104.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
103.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
100.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
93.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
92.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
91.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
90.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
89.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
88.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
88.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
87.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
87.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
86.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
85.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
85.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
83.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
80.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
78.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
77.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
77.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
75.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
74.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
72.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
70.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
70.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
68.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
68.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
64.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
64.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
60.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
57.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
53.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
52.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
49.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
43.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
30.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
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Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
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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Tumor
0.1
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Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
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Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
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Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
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
