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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.
RPS29 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 pTPM
4954.3
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
12049.7
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
11467.8
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
10025.1
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
9766.8
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
9610.0
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
9560.0
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
9508.1
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
9457.4
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
9122.8
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
8894.7
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
8748.0
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
8744.2
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
8700.8
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
8463.9
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
8455.7
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
8400.9
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
8340.8
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
8300.7
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
8287.1
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
8216.2
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
8184.6
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
7838.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7442.8
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
7428.1
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
7144.3
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
7137.5
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
7015.8
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
6986.7
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
6971.7
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6932.8
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6825.6
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
6814.1
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6798.2
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
6780.5
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
6753.6
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
6722.9
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
6665.2
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
6659.3
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
6566.2
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6381.8
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
6368.2
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
6299.1
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
6202.8
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6171.6
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
6129.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
6127.8
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
6099.1
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
6013.3
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
5990.8
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
5965.4
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
5961.0
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
5917.8
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
5909.2
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
5870.8
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
5844.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
5834.4
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
5833.3
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
5827.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
5820.5
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
5800.4
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
5776.9
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5737.8
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
5728.8
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
5680.3
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
5638.1
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
5612.0
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
5597.1
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
5533.7
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
5530.6
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
5519.0
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
5518.9
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
5505.4
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
5462.2
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
5454.9
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
5454.3
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
5444.6
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
5413.1
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5405.6
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
5384.4
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
5379.6
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
5343.8
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5339.0
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
5336.4
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
5324.3
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5318.2
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
5297.7
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
5295.1
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
5288.4
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
5286.8
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
5271.7
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
5250.7
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
5248.9
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
5237.0
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
5226.0
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
5194.6
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
5191.4
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
5132.9
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5127.9
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5123.4
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
5121.5
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
5100.0
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
5084.2
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
5080.1
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
5072.4
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
5070.4
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
5062.5
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
5035.9
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
5015.2
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
5008.4
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4999.2
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4990.2
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
4986.8
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
4985.2
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4981.6
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4932.3
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
4916.0
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
4915.8
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4904.9
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
4890.1
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
4869.3
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4851.0
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
4835.4
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
4797.9
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
4789.8
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
4785.8
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4767.5
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
4742.9
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
4724.9
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4713.7
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
4709.8
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
4709.2
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
4687.2
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
4675.4
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
4656.9
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
4641.0
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
4640.7
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
4620.3
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4611.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
4608.2
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
4598.9
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
4585.7
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
4568.3
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
4559.2
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
4543.3
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
4533.7
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
4527.4
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
4520.4
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4513.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
4505.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4495.6
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
4434.2
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4397.4
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
4350.7
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
4342.4
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
4341.9
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
4329.5
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4315.1
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
4308.0
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
4285.3
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
4277.5
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4276.9
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4271.9
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
4255.9
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
4234.4
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
4217.0
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
4168.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
4135.2
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
4130.0
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
4084.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
4083.4
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4078.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
4066.2
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
4058.7
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
4049.6
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
4014.8
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
3975.2
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
3966.4
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
3912.9
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
3908.7
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
3907.1
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
3905.6
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3900.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
3885.4
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
3864.0
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
3824.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
3803.4
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
3782.2
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
3771.8
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
3753.5
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
3750.2
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
3748.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
3742.9
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3704.2
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3702.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
3669.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
3650.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3644.4
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
3635.0
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
3603.0
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
3573.5
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
3553.2
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
3532.5
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
3532.0
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3509.0
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
3422.2
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
3395.6
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
3392.5
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
3376.3
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
3374.9
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
3346.6
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
3339.2
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
3318.2
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
3290.8
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3288.3
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
3263.7
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
3261.7
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
3259.7
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3250.1
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
3233.2
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
3230.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3187.3
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
3174.2
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3169.4
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3143.5
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
3142.0
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
3104.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3069.7
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
3013.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
2937.1
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
2935.0
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
2874.9
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
2873.3
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
2863.0
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
2850.4
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
2826.6
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
2817.3
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
2741.4
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2723.9
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
2664.1
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2635.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
2624.0
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2620.3
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
2584.2
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
2529.0
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
2501.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
2480.6
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
2458.9
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
2442.5
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
2349.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
2313.7
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2200.1
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2169.2
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2118.1
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 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.
RPS29 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 pTPM
675.9
Number of samples
486
Samples
Sample
Description
pTPM
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1614.3
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1612.3
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
1454.3
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1435.0
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
1419.0
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1399.7
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
1334.6
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
1310.4
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1272.5
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1265.5
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1263.7
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1252.9
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1248.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
1247.2
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
1244.3
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
1243.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
1242.4
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
1233.1
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1207.2
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1204.5
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
1204.3
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1201.5
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
1187.0
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
1186.1
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
1182.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1174.3
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1163.7
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1133.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
1129.1
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1122.8
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
1121.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
1105.8
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
1096.5
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1095.4
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
1091.2
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1088.6
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1085.3
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
1080.0
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
1075.2
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
1070.9
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1069.0
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
1059.3
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1053.3
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
1050.4
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
1050.4
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
1048.9
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
1047.4
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
1046.1
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
1032.6
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
1028.7
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1020.0
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
1017.6
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1014.8
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
1014.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1002.6
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
993.7
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
990.9
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
989.9
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
961.5
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
960.1
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
959.7
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
959.1
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
958.8
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
956.2
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
955.8
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
950.1
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
945.0
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
944.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
941.8
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
937.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
933.3
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
928.1
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
927.8
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
927.1
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
923.4
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
919.7
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
914.4
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
914.1
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
912.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
908.9
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
904.8
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
899.1
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
897.7
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
896.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
895.0
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
891.4
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
889.6
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
889.2
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
886.9
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
882.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
880.9
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
873.8
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
872.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
870.3
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
868.5
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
866.8
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
864.8
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
864.7
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
863.4
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
855.6
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
855.5
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
849.8
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
848.7
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
844.4
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
844.1
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
843.2
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
842.4
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
842.4
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
837.3
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
837.2
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
834.4
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
833.6
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
830.9
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
826.5
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
823.9
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
823.6
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
820.2
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
818.0
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
815.0
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
814.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
814.3
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
813.9
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
808.3
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
806.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
806.1
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
805.1
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
800.6
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
799.7
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
799.6
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
796.8
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
796.6
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
796.4
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
795.0
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
791.9
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
783.6
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
783.3
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
781.7
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
781.5
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
777.1
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
777.0
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
776.4
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
774.8
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
774.6
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
774.3
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
773.7
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
770.9
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
770.6
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
768.2
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
767.6
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
766.7
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
764.4
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
763.7
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
762.9
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
762.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
760.8
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
760.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
758.8
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
757.8
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
755.3
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
749.6
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
749.3
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
748.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
744.4
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
744.2
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
741.2
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
737.5
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
737.1
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
736.3
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
733.6
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
733.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
730.4
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
728.4
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
728.3
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
727.6
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
727.0
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
726.5
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
723.0
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
722.5
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
722.3
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
721.9
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
721.7
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
721.4
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
716.8
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
716.3
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
715.8
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
715.4
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
712.2
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
711.1
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
710.5
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
706.9
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
706.7
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
705.7
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
705.3
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
703.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
700.9
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
700.5
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
699.6
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
699.6
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
697.9
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
696.3
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
694.2
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
693.6
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
693.5
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
692.6
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
691.6
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
690.4
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
686.8
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
685.4
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
682.6
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
679.3
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
677.5
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
675.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
675.4
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
674.8
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
674.4
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
674.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
673.8
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
672.3
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
671.6
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
671.5
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
670.7
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
667.7
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
667.3
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
665.8
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
662.7
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
661.1
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
660.8
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
660.5
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
657.5
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
657.4
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
656.8
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
656.7
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
656.0
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
655.2
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
655.2
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
653.8
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
653.8
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
652.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
652.0
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
650.5
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
650.0
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
648.7
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
647.7
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
647.4
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
647.0
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
645.9
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
645.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
643.9
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
639.8
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
639.4
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
639.0
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
638.9
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
636.7
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
636.3
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
636.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
634.2
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
630.1
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
624.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
621.1
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
618.3
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
617.4
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
616.4
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
610.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
608.7
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
608.5
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
607.7
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
606.7
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
606.0
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
605.8
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
602.0
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
600.0
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
600.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
599.6
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
598.2
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
593.9
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
591.0
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
591.0
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
590.7
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
589.9
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
589.7
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
588.9
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
588.3
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
586.7
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
586.0
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
585.1
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
584.3
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
583.7
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
582.4
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
582.3
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
582.1
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
578.2
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
576.4
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
575.1
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
574.2
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
572.9
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
572.8
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
572.5
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
571.0
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
570.4
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
568.1
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
567.8
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
567.7
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
566.4
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
566.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
564.4
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
564.0
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
562.9
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
558.4
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
557.5
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
557.5
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
556.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
555.0
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
554.4
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
553.6
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
553.4
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
552.8
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
552.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
552.2
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
552.0
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
551.7
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
551.1
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
549.3
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
547.1
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
544.3
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
544.3
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
543.0
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
541.2
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
540.0
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
538.2
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
537.9
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
535.7
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
531.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
531.2
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
530.9
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
530.8
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
527.1
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
526.3
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
525.0
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
523.7
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
522.6
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
522.0
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
521.8
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
519.9
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
519.8
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
517.2
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
515.9
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
515.6
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
514.8
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
514.3
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
513.1
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
512.5
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
510.9
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
509.8
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
508.7
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
508.5
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
508.1
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
507.5
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
506.9
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
506.6
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
505.5
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
505.0
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
503.6
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
501.8
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
501.1
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
500.2
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
499.8
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
499.7
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
498.4
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
494.3
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
490.0
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
489.3
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
487.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
487.5
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
487.4
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
486.0
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
485.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
481.9
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
481.3
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
480.8
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
478.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
475.9
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
475.3
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
473.4
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
472.2
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
472.2
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
472.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
472.1
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
469.6
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
467.5
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
466.8
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
466.8
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
463.2
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
463.1
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
462.2
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
461.3
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
460.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
458.3
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
457.2
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
454.8
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
454.3
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
453.2
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
452.6
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
450.8
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
449.6
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
448.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
439.2
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
436.8
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
436.0
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
434.2
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
429.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
427.9
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
426.7
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
426.4
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
425.7
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
425.4
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
423.7
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
422.9
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
420.2
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
418.9
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
418.4
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
418.3
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
414.7
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
411.4
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
409.6
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
408.4
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
407.8
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
407.1
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
405.8
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
404.5
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
403.9
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
402.9
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
400.8
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
400.0
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
399.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
398.6
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
398.2
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
396.4
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
395.6
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
394.8
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
393.8
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
390.1
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
387.0
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
386.5
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
385.3
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
385.1
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
379.8
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
376.0
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
372.4
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
365.8
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
365.4
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
362.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
359.2
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
353.8
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
353.7
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
349.0
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
340.1
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
336.0
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
335.6
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
334.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
333.7
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
331.8
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
328.9
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
328.9
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
322.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
321.4
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
320.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
320.1
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
318.2
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
316.6
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
308.1
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
302.2
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
299.7
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
298.1
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
297.3
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
293.9
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
293.2
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
285.6
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
283.4
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
277.9
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
277.6
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
274.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
267.4
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
247.7
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
239.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
235.8
U0074
89 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.
RPS29 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 pTPM
4850.3
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
10976.9
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
10598.5
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
9371.0
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
9257.3
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
9247.9
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
8750.9
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
8279.1
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
8255.0
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
7318.4
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
7156.3
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
7036.7
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
7019.2
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
7014.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
6648.0
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6592.4
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
6526.1
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
6488.0
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
6381.6
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
6369.0
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
6212.8
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
6188.4
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
6102.4
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
6018.0
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
5976.4
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
5898.8
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
5886.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
5873.6
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
5811.1
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
5468.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
5415.2
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5319.4
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5268.9
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
5197.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5059.3
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
4949.0
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
4744.0
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
4734.1
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
4721.8
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4720.4
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
4720.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
4631.4
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
4528.0
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
4402.8
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4390.9
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
4383.7
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4364.5
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
4342.8
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
4315.6
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
4195.5
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4077.6
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
4059.9
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
4041.4
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
4001.7
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
3938.5
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
3930.9
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
3893.3
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3857.1
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
3718.4
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3671.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
3595.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
3579.6
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
3470.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
3409.8
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3392.2
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
3378.1
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
3358.6
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
3292.9
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3275.3
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
3172.0
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
3139.4
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
3134.1
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
3102.7
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
3049.1
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2977.1
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2926.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
2909.7
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
2851.5
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
2841.6
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
2794.1
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
2694.2
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
2630.6
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
2559.0
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
2502.8
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
2449.3
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2400.9
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
2040.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
1992.6
TCGA-DY-A1DF-01A
73 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.
RPS29 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 pTPM
463.5
Number of samples
207
Samples
Sample
Description
pTPM
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
1911.7
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1398.0
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1316.0
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1189.4
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
1092.2
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
1043.9
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
1012.6
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
1000.2
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
978.5
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
962.0
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
958.0
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
952.6
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
900.0
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
896.6
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
831.9
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
812.7
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
791.1
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
782.3
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
781.2
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
780.8
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
765.3
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
764.0
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
758.9
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
749.2
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
747.9
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
735.4
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
723.3
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
721.5
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
686.7
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
667.8
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
666.8
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
666.0
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
652.8
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
644.8
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
641.3
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
631.2
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
625.4
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
624.4
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
617.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
600.7
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
583.2
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
581.9
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
581.2
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
578.1
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
577.0
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
575.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
566.1
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
564.2
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
561.7
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
559.0
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
557.3
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
554.6
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
549.0
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
546.9
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
546.2
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
543.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
535.0
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
531.0
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
525.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
522.6
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
522.3
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
520.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
516.6
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
513.3
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
512.6
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
511.4
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
504.6
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
502.5
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
500.1
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
498.3
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
492.1
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
491.9
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
490.5
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
485.5
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
481.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
481.8
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
481.2
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
477.8
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
477.1
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
476.4
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
473.1
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
470.0
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
469.7
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
467.0
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
465.8
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
463.0
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
455.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
455.8
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
455.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
451.0
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
449.8
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
443.7
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
436.5
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
435.6
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
429.7
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
429.0
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
428.4
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
428.1
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
417.4
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
417.3
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
415.5
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
413.9
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
412.8
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
411.6
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
407.2
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
406.1
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
405.4
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
394.6
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
393.5
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
392.4
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
390.4
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
384.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
380.0
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
378.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
377.0
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
373.5
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
373.3
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
372.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
360.4
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
359.5
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
358.7
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
357.3
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
356.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
356.3
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
354.3
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
350.4
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
348.9
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
342.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
341.1
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
340.4
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
339.6
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
336.3
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
333.7
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
333.5
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
332.3
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
331.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
330.9
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
328.3
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
327.8
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
326.9
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
324.2
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
321.8
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
319.2
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
318.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
314.4
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
314.0
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
313.8
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
311.8
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
311.5
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
311.2
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
311.0
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
308.7
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
307.2
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
305.0
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
304.5
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
303.1
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
302.9
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
299.0
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
298.2
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
296.6
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
292.7
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
288.6
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
286.2
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
285.7
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
285.4
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
280.9
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
277.3
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
277.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
275.6
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
274.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
273.1
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
271.8
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
271.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
270.6
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
269.0
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
264.4
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
264.3
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
263.3
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
261.3
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
258.6
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
258.1
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
250.8
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
247.7
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
238.6
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
237.4
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
232.1
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
232.1
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
231.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
229.1
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
228.4
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
222.3
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
219.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
219.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
218.1
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
216.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
216.1
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
200.9
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
191.3
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
190.2
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
189.7
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
176.8
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
176.6
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
160.0
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
144.7
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
142.8
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
136.0
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
128.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.9
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
