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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.
RPS24 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
4679.5
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
11454.7
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
11153.5
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
11020.8
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
10858.2
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
10522.2
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
10173.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
9519.4
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
9402.8
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
9284.6
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
8684.7
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
8429.3
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
8099.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
8038.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
7991.3
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
7755.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
7608.7
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
7238.8
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
7137.2
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
7057.7
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
7019.7
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
6946.8
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
6923.3
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
6842.0
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
6822.7
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
6804.8
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
6791.6
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
6758.5
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
6647.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
6635.5
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
6472.7
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
6466.8
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
6422.0
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6391.2
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6390.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
6335.5
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6315.0
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
6275.7
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
6271.0
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
6268.1
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
6250.5
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6223.3
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
6221.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
6187.7
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6177.6
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
6155.4
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
6062.7
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
6028.1
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
5996.1
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
5974.9
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
5925.5
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5924.7
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5897.8
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
5881.6
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
5872.1
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
5859.3
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
5845.2
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
5835.8
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
5824.0
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
5800.8
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
5694.9
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
5655.5
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
5612.3
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
5598.2
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
5574.2
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
5547.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
5496.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
5481.9
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
5454.3
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5405.7
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
5387.6
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
5330.5
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
5322.0
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
5306.0
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
5224.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5215.1
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5214.9
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5213.2
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
5166.4
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
5161.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
5147.6
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
5145.1
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
5129.1
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
5116.0
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
5111.9
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
5110.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
5106.9
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
5088.6
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
5069.0
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5055.8
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
5045.2
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
5030.5
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
4995.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
4976.3
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4971.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
4935.9
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
4856.0
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
4843.0
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
4829.7
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
4814.7
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
4814.6
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
4799.0
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
4795.6
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
4768.3
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
4740.9
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
4733.5
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4730.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
4728.4
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
4703.8
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4702.9
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
4693.4
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
4693.4
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
4648.7
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
4643.7
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
4605.8
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4590.6
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
4583.8
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
4531.1
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
4488.0
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
4465.6
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
4460.4
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
4442.1
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
4440.9
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
4404.8
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4392.7
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
4382.3
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4353.9
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4348.5
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
4332.3
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
4322.2
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
4309.2
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
4290.6
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
4256.7
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
4250.1
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
4233.3
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
4230.0
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4222.5
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
4210.7
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
4176.5
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4164.7
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4150.8
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
4150.1
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
4143.2
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
4134.5
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
4121.4
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
4115.5
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
4114.3
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
4095.8
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
4080.7
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
4076.0
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
4067.0
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
4066.2
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4063.1
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4051.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
4020.2
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
4012.0
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
3988.9
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
3972.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
3947.1
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
3926.6
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
3925.8
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3921.5
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3904.0
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3898.8
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
3886.3
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
3881.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
3878.0
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
3825.3
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
3810.0
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
3807.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
3780.1
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3766.6
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
3763.0
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
3757.8
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
3750.5
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
3747.1
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
3718.6
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
3650.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
3632.9
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
3604.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3602.1
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
3599.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
3567.1
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
3538.8
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
3532.6
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3509.1
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
3509.1
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
3500.0
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3463.3
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
3450.5
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
3442.8
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3434.9
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
3430.7
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
3378.2
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
3366.2
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
3361.9
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3349.0
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
3341.1
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
3340.1
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
3339.1
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3335.2
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
3326.5
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
3291.6
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
3282.9
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
3243.0
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
3232.5
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3228.6
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
3221.9
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
3196.7
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
3158.7
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
3149.1
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
3145.4
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3076.6
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3061.8
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
3046.8
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
3040.3
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
3035.4
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
2996.8
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2987.3
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
2986.9
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
2963.9
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2926.2
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2913.1
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
2911.8
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2901.6
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
2899.7
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
2888.3
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
2855.5
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
2805.1
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
2766.6
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
2760.7
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
2742.9
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
2717.9
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2668.2
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
2666.0
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2579.3
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
2522.4
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
2510.4
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
2494.8
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
2489.1
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
2473.7
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
2453.9
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
2450.6
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
2411.3
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2409.7
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
2405.9
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
2334.8
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2324.7
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
2316.6
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2046.3
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
1969.9
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
1889.3
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
1873.7
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
1866.6
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS24 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
2802.3
Number of samples
486
Samples
Sample
Description
pTPM
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
14965.2
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
13269.5
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
8101.1
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
7362.1
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
6785.1
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
6408.2
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
6033.8
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
5912.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
5547.9
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
5046.6
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
4846.6
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
4804.8
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
4676.7
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
4604.3
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
4567.8
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
4404.3
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
4389.3
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
4371.7
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
4333.7
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
4280.6
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
4271.1
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
4230.4
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
4224.4
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
4213.7
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
4156.6
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
4117.9
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
4100.9
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
4098.9
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
4080.6
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
4077.6
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
4000.0
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
3979.9
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
3974.2
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
3965.6
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
3952.0
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
3942.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
3938.7
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
3933.8
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
3897.7
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
3874.1
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
3872.0
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
3871.2
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3865.4
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3836.7
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
3833.6
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
3833.1
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
3830.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
3823.6
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
3749.7
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
3730.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
3712.7
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
3706.6
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3696.3
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
3672.0
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3649.2
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
3626.3
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
3603.7
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
3575.8
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
3561.0
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3533.8
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
3532.2
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
3530.4
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
3506.7
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3502.3
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3481.1
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3480.2
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
3478.0
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3475.0
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
3453.1
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3448.8
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
3443.9
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3434.0
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
3433.5
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
3428.4
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
3427.8
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
3426.2
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
3421.4
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
3410.2
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3398.9
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
3397.2
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
3392.7
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
3390.7
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
3383.1
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
3378.4
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
3369.3
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
3366.9
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
3366.4
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
3365.2
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
3362.7
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
3362.4
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
3359.6
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
3351.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
3342.2
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
3341.1
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
3327.5
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3322.8
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
3320.1
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
3311.0
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
3311.0
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
3289.5
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3289.0
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3283.2
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
3281.2
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3271.7
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
3270.4
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3268.2
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
3259.2
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
3253.2
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
3252.8
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
3249.5
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
3244.7
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
3240.0
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
3235.1
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
3232.0
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3231.8
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3230.2
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
3227.8
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3227.5
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3188.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3186.7
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3181.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
3168.5
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3167.6
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
3155.5
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
3148.6
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
3145.8
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
3135.2
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
3124.3
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
3121.6
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
3113.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3112.2
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3110.1
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
3099.6
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
3085.6
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3074.1
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
3073.3
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3071.9
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
3062.6
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
3061.8
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
3053.1
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
3045.9
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
3040.7
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3038.0
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
3036.6
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
3034.6
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
3027.1
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
3024.2
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
3017.9
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
3013.1
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3007.9
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
3005.9
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2997.3
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2984.1
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
2983.9
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
2982.9
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2979.7
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
2971.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
2966.0
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
2963.3
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2959.1
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
2957.8
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
2957.0
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
2955.3
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
2953.9
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
2953.3
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
2952.4
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
2948.7
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
2948.6
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
2944.5
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
2940.9
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
2940.6
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
2939.3
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
2939.1
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2934.5
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2931.4
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
2921.8
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
2920.7
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
2920.0
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
2914.7
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2909.2
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
2907.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
2907.6
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2896.0
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2895.4
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
2893.1
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2891.2
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
2889.8
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
2887.6
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
2886.3
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
2884.5
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2877.0
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
2871.7
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
2865.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
2864.2
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
2860.4
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
2857.4
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
2849.2
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
2848.7
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
2842.0
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
2841.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
2837.3
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
2836.7
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
2835.1
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
2831.6
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
2828.3
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
2827.0
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
2826.6
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
2824.9
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
2822.1
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2820.0
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2818.9
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
2818.6
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
2818.0
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
2810.9
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
2802.5
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2801.3
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2795.0
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2792.7
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
2790.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
2786.8
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
2782.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2778.6
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2773.3
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2773.0
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2767.0
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
2766.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2764.8
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
2759.3
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
2757.9
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
2753.2
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
2752.3
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
2752.0
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
2744.1
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2737.3
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
2736.7
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
2731.3
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
2727.7
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2719.0
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
2716.5
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
2713.7
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
2713.1
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2704.4
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
2699.5
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
2694.2
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
2689.4
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2688.4
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
2687.5
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
2685.8
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2676.5
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
2672.4
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
2671.2
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
2661.4
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
2656.5
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
2653.9
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
2644.4
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2641.1
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
2637.4
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
2635.3
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
2633.8
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
2631.2
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
2627.5
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
2627.0
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
2625.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
2616.1
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2610.4
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2600.6
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2586.9
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
2576.8
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
2564.2
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
2563.8
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
2554.3
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
2549.0
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
2548.5
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2547.6
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
2534.4
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2532.4
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
2527.7
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
2519.2
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2518.7
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
2514.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2514.4
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
2509.8
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
2508.3
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
2507.3
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2504.0
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
2499.3
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
2489.4
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
2489.3
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
2488.9
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
2485.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
2481.7
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2480.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
2477.1
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
2476.2
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
2475.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2473.9
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
2470.6
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
2457.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2457.6
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
2457.5
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2454.4
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
2453.5
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
2443.6
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
2442.5
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
2442.0
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2438.8
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
2433.5
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
2432.6
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
2432.6
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
2426.9
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
2426.1
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
2418.3
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2414.3
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
2412.6
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2412.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
2409.4
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2404.7
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2403.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2401.7
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
2399.6
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2398.0
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2397.4
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
2395.8
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
2394.5
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
2393.2
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2385.4
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
2379.7
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2375.2
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
2371.4
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2371.0
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2366.5
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
2363.4
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2363.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
2356.4
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2352.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
2352.4
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
2352.1
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
2351.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2340.0
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2338.2
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
2334.7
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2332.5
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
2331.8
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
2326.7
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2318.8
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
2317.0
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2302.1
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
2289.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
2281.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
2277.4
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2276.7
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
2273.3
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2259.2
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
2246.2
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2242.4
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
2236.2
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2227.5
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
2224.9
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2224.2
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
2220.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
2216.5
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2216.5
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
2215.1
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2209.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
2201.1
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
2188.4
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2188.2
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
2180.9
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
2177.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2167.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
2165.6
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
2163.6
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2161.0
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2159.3
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
2155.9
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
2147.1
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
2140.3
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
2137.9
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
2137.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
2135.7
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
2131.3
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2131.2
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2117.1
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
2112.9
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
2108.5
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
2100.8
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
2088.3
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
2083.0
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
2082.9
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
2081.7
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
2075.3
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2074.4
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2069.2
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
2068.5
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
2061.3
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
2059.4
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2057.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
2049.6
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
2033.9
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2033.5
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
2023.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2021.1
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
2019.2
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
2018.4
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
2018.3
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2018.2
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
2014.1
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
2002.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
1997.8
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
1993.9
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
1981.6
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
1970.7
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1970.5
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
1970.4
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
1962.3
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
1957.0
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
1954.7
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
1950.6
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
1934.1
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
1931.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
1924.6
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1924.1
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
1920.9
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
1915.8
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
1912.1
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
1909.0
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1904.2
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
1901.6
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
1898.7
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1896.8
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
1871.9
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1864.5
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1864.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
1862.3
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
1861.1
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1860.4
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
1844.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
1842.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
1840.0
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
1838.9
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
1838.8
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1836.9
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
1836.8
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1821.4
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
1819.2
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
1818.0
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
1815.7
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
1791.2
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
1786.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
1783.3
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
1754.4
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
1726.4
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
1717.7
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1716.6
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
1705.9
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
1686.6
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
1681.8
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
1680.9
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
1677.5
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
1673.6
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
1660.2
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1649.3
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
1636.7
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
1635.9
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
1575.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
1571.5
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
1557.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
1557.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
1546.2
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
1541.2
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
1518.9
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
1488.7
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
1458.2
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
1444.7
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
1430.5
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1426.8
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
1421.4
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
1418.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
1407.6
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
1358.4
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
1330.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
1300.4
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1285.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
1283.0
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
1166.0
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.
RPS24 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
4721.6
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11861.6
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
10990.7
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
8450.3
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
7991.5
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
7194.2
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
7160.3
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
7101.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
6590.4
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
6575.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
6520.5
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
6365.0
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
6163.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
6099.9
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
6068.3
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
6066.1
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
6036.3
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
5965.9
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
5926.8
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5666.6
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5404.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
5392.7
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
5299.3
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
5265.1
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
5263.0
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
5259.4
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
5235.0
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
5193.3
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
5184.1
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
5151.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5145.8
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
5139.7
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5133.9
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
5115.0
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
5114.6
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
5096.1
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
4931.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
4911.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
4885.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4871.9
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
4857.8
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
4827.2
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
4635.4
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
4603.8
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
4596.1
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
4527.6
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
4525.6
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
4475.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
4475.3
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4461.0
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
4185.5
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
4162.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
4050.3
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
3997.3
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
3995.3
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3921.7
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
3900.8
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
3892.3
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
3886.5
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
3873.7
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
3834.8
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
3820.2
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
3801.7
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
3719.5
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
3638.0
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
3622.1
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
3588.5
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
3579.1
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
3492.1
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
3490.2
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
3473.0
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
3472.1
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3447.1
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
3434.1
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
3386.0
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
3343.5
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
3317.2
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
3209.7
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
3018.5
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
3011.0
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
2825.4
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
2641.3
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
2631.1
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
2618.8
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
2532.1
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2328.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
2304.5
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.
RPS24 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
2426.0
Number of samples
207
Samples
Sample
Description
pTPM
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
5175.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
5011.3
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4944.0
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
4613.9
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
4251.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
4156.8
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
4110.3
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
4003.6
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
3996.6
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
3956.9
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
3836.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
3813.7
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3727.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
3723.1
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
3660.5
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
3635.1
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
3538.0
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
3517.8
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
3505.6
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
3485.5
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
3405.1
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
3374.7
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
3336.7
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
3329.0
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
3305.5
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
3282.1
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
3265.6
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
3164.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
3143.9
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
3123.9
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
3116.9
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
3116.3
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
3115.2
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
3105.5
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
3077.1
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
3061.7
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3060.9
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3055.3
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
3045.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
3043.9
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
3042.3
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3017.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2995.8
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2992.3
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
2988.2
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2985.8
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2966.5
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
2963.9
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2947.2
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2922.0
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
2916.0
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2915.4
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
2860.9
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
2831.5
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
2828.1
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
2803.7
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
2773.1
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
2771.8
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
2755.1
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
2749.1
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
2744.5
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2726.5
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
2726.1
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
2699.7
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2668.3
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2662.6
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
2657.0
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2647.7
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
2610.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
2593.9
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2588.6
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
2587.2
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2584.3
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
2582.5
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
2575.3
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
2575.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2569.8
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
2566.9
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
2566.8
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
2565.1
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
2539.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2534.3
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
2532.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
2532.2
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
2530.1
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
2518.1
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
2506.3
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
2503.4
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2499.5
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
2477.1
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2470.5
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
2467.9
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
2463.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2449.5
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2431.2
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
2424.9
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2406.9
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
2385.9
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2378.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2375.6
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
2361.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
2355.8
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
2350.3
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
2349.8
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2344.3
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2339.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2328.3
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
2327.4
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
2320.9
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
2313.8
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
2290.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
2283.7
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2278.1
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2262.7
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
2261.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2258.7
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
2242.1
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
2236.1
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
2235.3
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2229.9
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2222.1
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
2219.1
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
2204.7
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2200.7
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
2199.1
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
2175.4
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2167.9
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
2165.6
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
2149.5
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
2147.4
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2144.6
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
2141.6
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2126.7
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
2112.8
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2095.2
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2093.5
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
2087.0
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2046.1
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2044.5
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
2040.6
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
2036.9
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
2031.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
2001.3
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
1985.3
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
1955.3
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1954.9
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
1931.7
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
1927.4
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
1924.2
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
1922.1
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1918.9
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1895.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1888.8
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1870.8
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1863.3
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
1856.1
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1854.8
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1844.4
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1831.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
1822.7
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
1820.1
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
1818.8
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
1810.1
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
1805.0
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
1792.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1778.8
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
1760.6
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1753.2
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
1739.0
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
1725.2
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1711.3
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
1700.6
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
1694.0
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
1691.1
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1681.7
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
1665.3
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
1650.1
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
1632.5
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
1609.3
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
1599.8
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
1596.6
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
1590.9
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
1590.2
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
1536.6
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
1527.9
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1508.7
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1498.3
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1494.8
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
1486.9
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
1465.1
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
1464.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
1464.3
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
1440.7
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1436.9
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1418.9
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
1415.8
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1370.0
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
1355.6
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1349.9
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1298.8
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1288.2
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1242.3
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1226.9
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
1190.5
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1126.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1068.2
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
82.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.