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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.
RPL39 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5270.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
13353.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
13233.2
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
12993.6
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
12916.6
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
12728.6
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
12703.1
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
11964.0
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
11935.8
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
11308.0
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
11237.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
11154.1
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
10877.4
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
10838.9
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
10103.4
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
10012.7
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
9573.2
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
9525.9
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
8963.4
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
8869.6
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
8811.5
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
8791.9
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
8713.4
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
8653.1
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
8598.3
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
8540.3
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
8507.4
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
8407.6
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
8312.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
8077.2
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8036.8
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
7881.5
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
7836.6
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
7683.4
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
7665.7
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
7617.9
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
7578.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
7435.3
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
7397.0
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
7391.3
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
7387.5
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
7323.0
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
7298.2
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
7252.8
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
7028.3
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
6985.6
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
6938.9
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
6923.0
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
6870.0
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
6862.7
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
6862.3
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
6855.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
6822.7
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
6751.5
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
6725.5
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
6704.6
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
6657.0
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
6641.7
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
6637.8
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
6517.5
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6488.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
6424.2
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
6404.3
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
6372.4
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
6355.5
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6316.8
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
6304.3
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
6279.2
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
6239.8
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6136.0
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
6117.4
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
6013.1
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
5985.2
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5938.8
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
5909.1
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
5866.0
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
5862.3
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
5854.7
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
5836.6
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
5783.2
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
5727.2
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
5716.2
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5690.7
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
5656.8
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
5616.6
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
5558.1
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5553.3
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5541.1
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
5510.5
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
5485.8
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
5485.3
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
5483.4
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
5390.8
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
5375.3
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
5345.2
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
5307.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
5303.3
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
5298.2
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
5276.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
5274.4
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
5272.6
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
5272.3
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
5239.2
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
5225.7
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
5173.8
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
5171.8
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5163.4
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
5146.3
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
5132.2
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
5104.6
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
5077.4
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
5068.8
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
5041.3
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
5029.8
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5004.0
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
5001.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
4979.7
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
4973.5
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4953.4
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
4902.6
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
4901.1
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4838.4
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4780.8
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
4762.7
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
4754.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4747.3
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4728.0
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
4727.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
4710.4
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4707.8
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
4689.3
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
4674.4
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4668.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
4665.5
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
4662.1
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
4651.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
4650.6
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4646.7
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
4636.9
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
4625.0
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
4622.7
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
4612.8
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4610.9
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
4609.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
4607.0
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
4464.0
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
4458.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
4435.8
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
4430.6
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
4429.7
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
4429.3
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
4410.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
4386.0
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
4375.6
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4370.4
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
4368.3
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
4352.2
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
4340.2
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
4233.8
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4225.5
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4215.6
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
4179.3
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4170.4
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4134.6
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
4099.6
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
4095.3
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4091.5
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4087.5
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
4081.7
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
4051.5
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
4037.6
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4037.2
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
3980.5
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
3952.9
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3947.3
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
3915.7
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
3910.2
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
3893.7
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
3875.6
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
3874.8
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
3863.3
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
3862.7
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
3850.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
3844.8
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3813.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
3787.8
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
3771.9
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
3767.0
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
3761.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3748.2
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
3716.0
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
3713.8
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
3698.4
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
3670.7
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
3668.4
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
3633.0
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
3529.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
3470.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
3466.4
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3462.2
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
3434.3
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
3414.1
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
3395.7
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
3391.9
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
3380.7
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
3337.7
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
3336.0
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3290.6
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
3255.9
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3251.7
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
3221.5
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
3199.2
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
3185.2
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
3179.6
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
3127.0
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
3114.2
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
3095.5
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
3062.0
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3051.0
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
3016.4
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2984.4
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
2956.0
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
2940.2
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
2912.5
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2902.9
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2898.2
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
2895.6
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
2888.9
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
2855.3
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2848.1
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
2820.8
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
2779.3
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
2754.4
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
2691.4
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2678.6
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2659.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
2584.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2563.2
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
2480.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
2479.1
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
2469.9
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
2458.9
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
2373.7
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2372.8
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2362.1
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
2328.4
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
2308.5
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
2258.4
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
2096.6
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
2071.1
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
2033.1
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2014.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
1899.1
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
1755.8
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 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.
RPL39 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1534.4
Number of samples
486
Samples
Sample
Description
TPM
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
7136.3
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
5476.7
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
4537.6
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
4513.5
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
4468.8
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3876.8
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
3832.7
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
3616.9
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
3588.1
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3520.5
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3495.1
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
3325.6
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
3278.2
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
3235.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3221.0
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
3171.7
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3164.9
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3120.0
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3118.3
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
3105.7
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3047.6
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
3033.4
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
2966.2
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
2966.1
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
2962.0
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
2911.8
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
2864.7
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
2858.4
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2780.0
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2763.6
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
2736.4
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
2715.6
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
2658.1
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
2630.4
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
2603.3
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
2601.8
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
2575.7
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
2494.5
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2489.9
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
2489.3
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
2481.2
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2453.7
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
2432.5
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
2429.5
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
2402.8
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
2377.0
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
2376.1
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
2332.6
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
2331.2
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
2311.7
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
2277.1
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2272.2
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2258.6
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
2227.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
2219.4
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
2216.8
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2215.1
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
2207.8
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
2188.5
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
2180.1
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2129.3
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2119.3
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2112.1
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
2108.5
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
2102.9
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
2101.9
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
2083.8
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2074.1
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
2072.4
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
2059.9
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
2057.7
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
2050.9
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
2047.6
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
2035.9
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
2035.2
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
2033.0
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
2004.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2000.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
1994.7
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
1992.1
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
1987.5
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
1984.1
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
1978.6
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1977.9
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
1977.5
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
1975.4
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
1972.5
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
1972.4
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1970.6
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
1967.3
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1946.5
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
1935.8
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
1934.6
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
1926.5
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
1923.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
1923.4
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
1908.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
1899.1
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
1893.1
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1892.4
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
1881.8
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
1873.8
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
1832.6
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
1815.0
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
1805.4
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
1802.2
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
1800.3
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1797.6
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1797.0
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
1792.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
1787.0
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
1785.6
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
1775.6
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
1775.2
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
1773.2
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
1772.7
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1765.4
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1748.7
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
1744.0
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1742.8
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
1737.9
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
1732.1
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
1728.0
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
1715.9
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1711.8
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
1711.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
1708.7
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
1706.8
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
1702.9
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
1700.3
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1698.8
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
1697.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
1695.6
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
1693.2
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1690.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
1689.4
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
1675.9
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1674.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1671.3
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
1669.2
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1667.1
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
1664.4
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
1658.8
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
1652.5
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1644.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
1641.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
1640.3
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
1637.2
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
1636.1
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
1633.9
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
1633.3
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
1632.6
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
1628.0
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
1625.9
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
1621.3
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
1620.2
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
1616.1
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
1614.8
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
1612.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
1606.8
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
1605.7
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
1603.7
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
1603.2
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
1602.2
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
1600.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
1589.9
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
1588.6
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1586.2
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1582.9
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1579.1
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
1577.6
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
1572.6
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
1572.1
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
1569.2
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
1562.0
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
1559.9
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
1559.5
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1558.1
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1556.7
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
1548.1
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
1544.5
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1543.6
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1543.4
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
1540.7
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
1540.0
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
1534.5
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
1533.1
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
1530.3
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
1530.0
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1528.7
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
1526.9
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1526.3
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
1521.2
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
1521.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
1520.1
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
1517.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
1516.4
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
1516.1
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
1514.9
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1513.1
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
1512.9
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
1512.7
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
1512.0
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
1507.9
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
1504.1
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
1503.8
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
1494.9
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1494.7
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
1489.9
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
1489.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
1489.7
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1489.0
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
1488.8
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
1487.0
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
1486.8
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
1485.5
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
1481.9
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
1481.2
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
1480.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
1472.1
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1468.5
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1465.3
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
1465.1
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
1464.3
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
1463.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
1459.9
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
1458.4
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
1454.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1453.6
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
1453.3
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
1451.1
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
1450.1
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
1447.0
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
1435.8
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
1434.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1431.8
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
1431.6
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
1428.4
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1427.3
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
1424.0
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
1422.5
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1418.0
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
1417.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
1408.3
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
1406.8
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
1405.2
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
1404.6
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
1404.2
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
1403.5
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
1398.1
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
1397.3
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
1396.1
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
1393.3
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
1392.0
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
1391.9
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
1390.0
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1386.2
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
1385.5
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
1378.3
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
1377.5
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
1376.7
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
1372.4
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
1370.4
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
1365.3
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
1362.6
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
1361.3
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1359.1
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
1358.4
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
1356.4
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
1356.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
1355.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
1354.8
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
1354.8
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
1352.0
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
1349.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
1339.8
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
1337.7
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
1335.6
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
1327.3
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
1322.1
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1316.4
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
1315.8
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
1314.2
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
1314.1
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
1311.3
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1309.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
1306.8
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
1305.9
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
1300.8
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
1300.1
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
1299.5
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
1297.7
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
1296.4
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
1294.0
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
1289.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
1277.7
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
1274.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
1272.5
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1268.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
1265.3
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
1260.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
1258.6
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
1248.2
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1247.1
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
1247.1
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
1246.9
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
1246.8
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
1243.4
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
1243.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
1239.7
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
1228.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
1227.1
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
1224.2
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
1217.0
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
1215.2
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
1213.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
1210.1
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
1208.2
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
1205.0
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
1201.0
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
1201.0
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
1194.8
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
1193.8
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
1192.6
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
1191.5
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
1190.2
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
1184.6
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
1183.9
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
1182.4
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1178.1
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
1177.9
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
1175.9
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
1175.4
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
1173.3
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
1173.2
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1170.6
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1168.5
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
1167.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1161.4
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
1159.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
1156.5
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
1155.1
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1147.3
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1144.7
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
1141.8
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
1135.2
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1135.0
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
1125.9
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
1122.6
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
1117.7
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
1115.4
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
1115.4
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
1111.8
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
1110.9
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
1110.0
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
1101.6
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
1098.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1096.9
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
1091.2
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1090.1
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
1088.8
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
1086.8
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
1085.9
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
1084.2
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
1082.2
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
1081.8
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
1080.9
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
1080.2
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
1079.8
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
1078.8
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
1074.6
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1071.8
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
1069.3
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
1068.8
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
1066.7
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
1066.4
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
1062.7
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
1060.7
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
1060.3
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
1052.5
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
1050.8
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
1050.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
1050.3
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
1050.2
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
1049.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
1046.7
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
1045.3
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
1043.0
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
1043.0
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1038.2
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
1037.7
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
1031.5
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
1027.6
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
1026.3
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
1024.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1023.5
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
1021.8
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
1016.8
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
1015.4
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
1008.6
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
1004.5
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
1002.6
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
1001.6
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
994.2
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
989.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
986.1
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
985.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
982.4
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
980.1
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
974.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
973.9
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
970.7
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
970.1
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
961.7
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
960.7
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
952.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
950.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
948.4
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
946.5
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
945.7
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
940.8
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
931.7
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
931.3
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
930.2
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
927.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
926.8
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
925.6
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
924.4
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
922.2
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
921.7
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
916.7
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
912.6
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
905.4
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
905.0
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
895.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
894.9
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
894.3
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
888.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
888.0
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
884.5
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
881.0
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
879.9
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
869.9
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
863.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
860.4
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
859.7
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
858.4
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
855.3
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
853.2
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
851.4
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
823.9
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
823.2
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
806.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
797.9
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
792.5
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
792.3
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
786.1
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
781.5
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
778.5
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
774.1
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
763.3
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
751.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
750.2
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
735.5
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
720.1
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
718.8
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
714.3
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
710.9
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
701.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
697.4
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
696.3
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
690.6
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
687.6
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
687.4
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
660.2
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
625.7
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
625.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
613.6
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
608.4
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
575.7
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
533.1
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
507.7
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
488.0
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
456.8
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
23.9
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.
RPL39 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
5815.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
15448.5
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
13524.8
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
10888.5
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
10104.4
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
9862.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
9780.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9711.1
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
9605.7
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
9386.4
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
8425.9
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
8388.1
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
8328.3
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
8268.5
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
8203.3
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
8168.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
7633.6
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
7621.1
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
7578.6
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
7529.4
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
7292.9
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
6966.7
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
6923.6
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
6878.4
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
6718.3
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
6631.0
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
6620.3
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
6572.1
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
6547.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
6505.7
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
6333.2
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
6080.1
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5993.6
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
5856.3
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
5800.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
5784.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
5706.5
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
5613.4
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
5603.1
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
5598.7
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
5520.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
5485.6
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
5457.3
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
5367.4
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
5299.0
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
5275.3
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
5219.7
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
5205.4
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
5194.1
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
5087.5
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
5052.8
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
5022.0
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
4945.9
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
4941.5
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
4854.1
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
4831.7
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
4798.6
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
4697.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
4692.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
4678.8
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
4611.6
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
4600.4
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
4520.7
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
4413.6
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4410.2
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
4408.2
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
4353.2
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
4163.9
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4144.8
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
4113.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4086.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
3994.8
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
3939.7
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
3666.7
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
3609.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
3548.7
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
3543.8
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
3430.0
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3410.2
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
3358.2
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
3343.5
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
3240.9
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
3086.7
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
2913.0
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
2869.6
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
2682.1
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
2549.3
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
2443.9
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 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.
RPL39 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1280.3
Number of samples
207
Samples
Sample
Description
TPM
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
5771.7
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
3703.6
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
3164.2
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3112.1
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
3006.5
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
2919.7
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
2839.8
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
2740.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2730.7
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2545.6
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
2521.4
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
2494.0
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
2420.1
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
2346.1
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
2332.1
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
2306.7
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
2274.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2236.4
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2192.5
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
2184.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2153.7
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
2089.9
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
2034.4
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
1912.1
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
1908.0
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1907.8
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
1881.1
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
1866.8
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
1865.9
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
1804.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
1782.6
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1781.9
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
1780.5
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
1748.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
1742.0
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
1720.0
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
1699.2
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
1695.3
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
1672.0
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
1670.6
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
1665.5
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
1660.5
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
1600.9
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
1596.7
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
1595.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
1593.6
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
1518.6
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
1499.1
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
1493.7
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
1491.4
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
1485.8
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
1465.2
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1450.7
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1408.2
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
1406.3
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
1400.2
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
1391.7
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1386.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
1381.1
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
1367.1
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
1358.4
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
1356.3
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1354.4
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1348.9
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
1335.2
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
1323.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1317.2
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
1315.3
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
1315.1
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
1298.9
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
1297.3
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
1294.4
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
1281.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
1278.1
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
1265.9
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1252.0
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
1251.3
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
1235.2
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
1230.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1225.0
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
1224.2
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
1216.3
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
1204.5
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
1202.0
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
1197.7
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
1195.7
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1192.8
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
1190.9
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
1184.4
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
1171.2
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1171.0
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1169.4
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
1167.9
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
1160.9
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
1154.2
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1151.5
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1139.8
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
1132.4
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
1124.1
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
1122.2
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1120.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
1116.1
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1114.9
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
1107.2
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
1102.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
1101.1
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
1100.3
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
1099.2
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
1092.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
1089.5
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
1086.2
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
1079.4
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1074.7
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
1072.9
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
1072.6
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
1068.0
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
1057.6
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
1054.0
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
1050.0
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1036.7
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
1036.4
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
1036.3
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
1032.9
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
1030.2
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
1027.3
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
1027.2
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
1025.6
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1020.6
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
1015.2
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1007.4
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1004.3
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
1003.4
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
998.5
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
996.2
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
994.4
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
992.4
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
977.4
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
970.5
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
966.6
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
961.4
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
961.4
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
957.5
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
954.2
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
953.8
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
943.2
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
939.2
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
934.7
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
922.1
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
917.1
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
916.6
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
912.1
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
906.0
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
904.9
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
901.4
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
901.2
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
897.9
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
890.8
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
885.2
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
883.1
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
881.7
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
878.4
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
876.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
873.4
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
870.9
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
856.9
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
854.1
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
847.7
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
842.8
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
818.6
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
817.0
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
809.0
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
804.5
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
799.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
792.2
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
791.2
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
773.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
771.9
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
771.6
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
752.6
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
748.4
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
738.6
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
738.3
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
736.9
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
721.2
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
719.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
714.8
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
711.3
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
700.9
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
698.4
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
697.4
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
668.3
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
661.8
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
656.4
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
629.1
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
624.2
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
623.3
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
622.2
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
621.0
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
610.8
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
605.2
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
562.0
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
545.2
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
525.8
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
516.7
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
497.1
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
473.2
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
46.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.9
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
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.