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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.
RPL41 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
6817.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
15523.0
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
15179.4
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
12980.3
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
12578.1
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
12386.4
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
11854.4
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
11810.7
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
11717.9
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
11522.0
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
11260.9
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
11146.8
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
11059.0
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
11047.2
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
10968.1
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10949.1
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
10633.7
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
10214.3
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
10189.1
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
10181.4
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
9861.2
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
9856.8
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
9775.1
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
9710.0
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
9686.6
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
9683.2
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
9644.8
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
9564.4
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
9558.4
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
9509.0
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
9506.2
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
9372.5
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
9351.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
9296.9
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
9112.4
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
9033.4
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
8991.0
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
8922.9
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
8883.7
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
8776.6
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
8752.5
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
8742.7
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
8699.0
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
8630.3
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
8579.7
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
8556.0
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
8553.3
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
8551.0
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
8545.8
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
8412.1
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
8291.5
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
8261.4
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
8235.6
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
8233.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
8147.8
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
8097.8
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
8083.2
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8064.2
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
8055.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
8028.7
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
7973.9
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
7929.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
7913.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
7869.4
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
7847.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
7846.4
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
7837.6
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
7798.8
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
7768.3
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
7759.1
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
7723.0
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7703.0
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7648.6
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
7631.5
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
7621.6
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
7485.0
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
7473.4
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
7439.0
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
7428.5
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
7419.0
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
7404.5
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
7377.6
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7376.0
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
7374.6
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
7333.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
7329.4
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7314.7
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
7263.6
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
7233.6
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
7184.3
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
7180.0
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
7179.4
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
7156.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7123.3
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
7105.9
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
7098.7
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
7085.9
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7070.8
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
7059.7
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
7056.8
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
7042.2
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
7033.7
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
7032.3
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6961.5
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
6949.0
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
6879.4
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
6854.5
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
6801.3
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
6794.1
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
6773.7
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
6749.0
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
6725.2
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
6715.5
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
6679.3
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
6653.8
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
6601.1
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
6600.0
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
6566.4
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
6519.5
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
6503.7
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
6498.8
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
6498.6
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
6489.6
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
6448.9
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
6397.3
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
6379.9
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
6377.4
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
6360.2
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
6357.0
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
6291.9
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
6290.5
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
6243.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
6241.6
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
6215.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
6211.7
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
6197.8
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6194.1
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
6182.4
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
6170.3
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
6170.1
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6168.3
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
6153.8
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
6147.3
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6123.1
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
6112.5
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
6085.8
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
6067.2
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
6047.8
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
6047.8
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
6038.1
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6028.6
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6017.3
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5985.8
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
5983.1
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
5972.7
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
5969.5
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
5952.2
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
5940.0
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
5932.2
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
5928.9
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
5901.3
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
5881.5
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5875.5
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5860.9
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
5852.1
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
5833.7
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
5828.0
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
5821.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
5770.2
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
5758.2
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
5751.4
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
5749.3
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
5705.9
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
5656.2
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5650.4
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
5647.3
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
5639.9
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
5623.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
5613.5
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
5584.8
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
5573.5
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
5565.8
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
5539.9
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5487.5
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
5449.9
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
5441.8
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
5420.6
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5405.6
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
5399.8
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
5390.5
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
5382.7
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
5373.5
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
5369.4
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
5368.5
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
5362.2
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
5339.5
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
5318.8
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
5273.7
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
5259.8
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5223.3
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5214.0
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
5177.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
5167.9
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
5167.6
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5114.0
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
5112.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
5073.3
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
5052.5
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
5050.4
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
5034.4
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4993.4
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4991.6
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4991.2
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
4923.3
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
4901.3
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
4888.7
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
4857.7
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
4835.6
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4800.9
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
4723.9
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
4684.2
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4672.5
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
4670.6
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
4661.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
4649.4
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
4630.0
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
4592.0
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
4587.6
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
4587.3
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
4575.3
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4508.0
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
4496.0
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
4472.4
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
4470.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
4440.7
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
4374.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
4369.8
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
4362.7
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
4329.1
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4282.5
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
4238.2
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
4233.0
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4221.4
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
4206.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
4170.7
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
4150.9
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
4135.3
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4049.3
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3894.4
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
3889.5
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
3711.8
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
3666.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
3594.4
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
3237.7
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
RPL41 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
3111.8
Number of samples
486
Samples
Sample
Description
TPM
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
6997.0
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
6586.6
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
5938.2
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
5860.1
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
5726.6
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
5628.0
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
5595.5
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
5566.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
5502.0
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
5492.3
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
5333.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
5321.1
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
5102.1
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
5092.6
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
5010.0
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
4971.6
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
4958.1
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
4952.0
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
4894.5
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
4831.2
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
4787.4
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
4768.1
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
4765.8
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
4760.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
4750.6
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
4741.1
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
4709.9
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
4698.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
4668.1
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
4661.9
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
4660.8
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
4623.2
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
4602.0
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
4583.5
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
4566.9
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
4560.6
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
4556.4
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
4552.4
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
4533.8
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
4530.2
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
4525.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
4519.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
4507.6
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
4496.4
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
4473.7
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
4465.7
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
4464.0
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
4456.7
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
4436.8
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
4431.6
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
4424.8
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
4422.8
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
4384.4
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
4379.7
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
4330.4
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
4309.2
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
4305.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
4280.2
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
4266.1
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
4251.2
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
4238.1
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4210.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
4198.8
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
4191.1
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
4181.6
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
4162.1
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4160.2
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
4156.0
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
4140.1
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
4130.8
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
4129.1
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4109.9
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
4006.9
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
3991.0
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
3990.1
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
3984.8
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
3976.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3951.4
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
3950.6
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3948.1
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3941.9
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
3938.3
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
3920.9
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
3917.5
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3904.6
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
3897.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
3891.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
3883.6
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
3864.6
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
3859.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
3857.4
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
3851.6
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
3847.9
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
3847.7
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3831.2
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
3826.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
3816.4
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3800.0
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
3796.4
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3790.7
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
3786.6
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
3777.5
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3771.3
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
3768.1
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
3761.4
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
3750.6
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
3748.5
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
3738.2
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
3726.9
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
3718.5
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
3706.0
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
3689.1
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
3687.6
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
3686.5
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
3677.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
3663.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
3646.4
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3646.3
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3636.6
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
3626.1
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3625.0
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
3611.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
3610.3
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
3600.1
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3599.3
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3591.4
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
3591.2
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
3586.8
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
3585.0
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
3580.5
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
3567.4
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
3552.5
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
3544.0
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
3537.2
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
3534.6
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
3528.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3516.6
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
3496.8
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
3484.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
3474.6
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
3472.9
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
3470.8
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
3467.1
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3461.4
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3456.3
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
3455.1
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
3453.4
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
3447.2
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
3446.0
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
3442.6
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
3436.0
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
3432.1
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
3432.1
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
3427.1
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
3417.2
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
3416.6
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
3410.9
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
3405.4
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
3405.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
3401.3
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
3395.4
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
3388.9
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
3380.6
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
3380.3
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
3376.7
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
3363.3
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3360.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
3354.8
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
3353.5
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
3352.7
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
3351.8
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
3348.3
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
3347.1
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
3345.7
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
3345.6
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
3341.1
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
3338.5
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
3325.9
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
3321.0
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
3321.0
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
3318.0
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
3316.4
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
3314.3
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
3309.6
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
3302.0
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
3298.5
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
3295.8
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
3295.6
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
3293.3
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
3291.0
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
3290.9
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
3289.6
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
3269.9
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3264.9
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
3264.7
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
3259.4
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3253.9
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
3252.7
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3246.8
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
3245.8
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
3243.7
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3238.4
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
3238.1
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
3233.1
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3231.7
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
3231.0
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
3230.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
3217.0
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
3216.7
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
3203.0
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
3197.8
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
3191.6
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
3190.0
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
3185.1
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
3184.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3180.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
3171.2
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
3168.4
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
3162.9
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
3162.5
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
3159.9
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
3158.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
3154.4
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
3149.8
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
3144.6
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
3130.4
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3126.9
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3125.5
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
3118.8
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
3114.6
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
3107.2
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
3097.2
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
3092.9
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
3087.3
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
3083.6
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
3080.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
3080.8
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
3072.3
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3069.5
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
3065.9
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3061.8
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
3055.5
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3051.1
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
3043.7
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3042.0
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3040.6
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
3030.0
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
3028.3
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
3028.1
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3023.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
3023.4
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
3019.1
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
3004.2
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
2992.2
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
2989.9
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2986.5
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
2985.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
2981.1
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
2975.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2963.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
2962.9
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
2956.2
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2947.9
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
2945.3
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2939.2
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2936.6
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2936.5
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
2932.7
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
2923.5
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2922.1
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2920.1
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2914.6
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
2913.7
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
2905.2
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
2898.9
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
2894.2
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
2880.8
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
2874.6
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
2872.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
2870.5
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
2870.0
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
2867.8
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2867.4
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2865.0
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
2860.0
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
2857.8
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
2842.4
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
2838.3
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
2837.2
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2834.5
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2826.2
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
2825.2
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
2824.2
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
2820.3
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
2818.3
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
2813.7
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
2813.7
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
2813.5
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
2810.6
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
2806.6
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
2806.5
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
2799.4
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
2789.1
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
2786.7
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
2785.5
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
2778.9
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
2775.5
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
2770.1
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
2767.3
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
2758.6
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
2748.4
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
2745.6
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
2741.6
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
2740.5
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2731.2
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
2729.7
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
2729.4
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
2713.2
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2708.2
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2699.7
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2695.1
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
2694.3
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
2687.1
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
2686.6
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
2686.6
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
2672.0
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
2670.5
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
2669.8
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
2659.1
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
2634.5
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
2624.7
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
2620.0
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
2614.4
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
2612.7
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
2611.7
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2606.7
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
2598.7
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
2589.5
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2586.4
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2564.8
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
2559.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
2555.5
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2555.2
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
2539.5
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
2539.5
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
2530.5
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2523.8
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2515.7
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2496.3
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
2483.9
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
2481.6
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
2476.4
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2476.2
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
2470.4
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
2466.7
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2460.2
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
2459.7
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2451.5
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
2445.2
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2442.6
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
2437.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
2431.0
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
2427.3
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
2423.8
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
2422.3
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2418.9
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
2412.4
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
2404.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
2403.2
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2400.0
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
2399.4
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2392.3
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
2388.9
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
2385.9
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
2382.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
2368.2
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
2356.2
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2352.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2350.3
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
2337.3
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2322.9
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
2318.1
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
2303.7
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
2298.6
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2293.9
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
2290.1
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
2284.6
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
2282.3
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
2278.9
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
2278.3
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
2268.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
2264.3
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
2261.8
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2259.7
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2259.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
2253.3
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2253.0
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2246.4
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
2246.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
2237.2
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2236.0
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
2233.8
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
2224.9
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
2206.6
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
2202.8
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
2197.5
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
2193.3
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2191.7
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2187.5
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2186.9
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
2185.2
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2184.9
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
2181.6
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2175.9
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2175.3
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2174.4
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
2161.7
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2158.5
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2155.2
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2152.2
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2148.9
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2148.2
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
2134.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2129.1
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2122.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2107.3
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2102.7
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2100.1
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
2096.1
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
2086.6
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2084.7
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
2076.1
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2060.4
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2059.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2056.1
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
2050.2
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2049.0
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
2043.1
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2034.4
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
2034.2
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
2014.3
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
1994.2
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1989.0
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1966.1
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
1953.2
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
1945.3
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
1928.2
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
1925.2
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
1922.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
1916.6
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
1912.2
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
1910.1
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
1908.0
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
1905.9
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
1893.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
1890.9
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1879.7
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
1868.1
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
1861.6
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1843.0
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
1832.2
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
1821.8
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1816.0
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
1807.4
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1799.1
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
1791.7
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
1746.6
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
1741.5
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
1717.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
1705.8
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
1685.4
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1684.8
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
1671.4
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
1662.1
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1571.2
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
1561.8
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1560.4
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
1518.7
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
1518.3
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1484.1
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
1439.6
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
1355.0
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
1223.3
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
1080.4
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
100.1
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.
RPL41 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
6846.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
14775.7
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
12725.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
12676.7
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
12594.0
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
12023.5
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
10548.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
9936.8
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
9781.8
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
9503.6
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
9500.5
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
9313.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
8968.5
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
8928.8
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
8885.7
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
8482.0
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
8392.2
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
8341.0
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
8283.3
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
8240.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
8097.4
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
8027.1
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
7944.8
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
7940.9
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
7888.0
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
7691.0
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
7687.0
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
7618.6
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
7565.4
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
7506.8
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
7392.0
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
7369.8
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
7246.5
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
7121.2
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
6999.8
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
6990.2
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
6962.4
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
6899.5
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
6862.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
6837.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
6683.1
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
6558.7
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
6537.5
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
6509.5
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
6453.3
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
6412.9
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
6274.2
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
6228.6
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
6203.9
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6194.7
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
6189.4
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
6140.6
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
6106.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
5946.9
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
5914.9
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
5909.6
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
5816.1
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
5815.2
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5793.2
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
5788.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
5778.5
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
5765.0
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
5759.5
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
5691.5
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
5592.1
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
5526.7
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
5353.3
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
5346.6
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
5280.0
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
5221.3
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
5173.6
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
5111.2
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
5100.0
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
5040.8
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
5023.6
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
4981.4
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
4920.7
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4822.2
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
4495.9
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
4471.2
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
4377.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
4356.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
4341.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
4302.6
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
4264.8
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
4017.5
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
3535.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
3081.9
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL41 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
2422.5
Number of samples
207
Samples
Sample
Description
TPM
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
6135.7
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
5474.8
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
5424.7
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
4548.3
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
4426.7
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4339.6
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
4299.9
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
4257.7
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
4108.8
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
4073.0
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
3918.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
3892.5
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3859.5
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
3858.4
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
3851.0
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
3841.2
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
3806.7
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
3741.3
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
3564.5
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
3470.1
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
3438.8
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
3417.9
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
3408.0
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
3403.8
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
3402.9
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
3365.9
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
3347.0
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
3331.5
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
3257.2
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
3249.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
3229.1
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
3203.9
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
3171.4
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3160.5
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
3141.3
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
3121.5
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
3121.2
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
3099.6
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
3052.5
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
3022.2
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
3019.0
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
3005.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
3000.5
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2999.7
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2993.7
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
2940.2
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2918.7
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
2903.4
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
2886.2
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
2871.0
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
2855.6
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2843.0
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
2818.8
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
2795.8
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2793.5
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
2792.5
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
2792.3
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
2779.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2777.5
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
2770.3
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
2765.3
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
2757.0
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
2737.3
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
2696.2
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
2694.5
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
2691.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2671.4
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
2669.5
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
2658.8
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
2651.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
2635.9
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
2629.7
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
2622.9
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
2597.5
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
2593.2
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
2583.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2574.9
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
2567.1
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
2520.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2508.1
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
2492.5
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
2483.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
2482.3
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
2460.8
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
2456.4
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
2430.2
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2415.4
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2412.6
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
2412.3
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
2399.5
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
2391.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2360.8
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
2343.6
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
2343.2
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
2335.0
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
2331.7
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
2322.1
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
2306.3
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2303.3
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
2297.1
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
2287.3
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2284.9
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
2275.3
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2268.4
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2253.3
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2245.3
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
2244.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
2232.4
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2229.0
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
2227.4
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2206.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2202.8
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2201.5
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
2179.5
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
2178.5
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
2177.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
2168.2
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
2154.9
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2142.9
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2138.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2136.7
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2130.3
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2125.3
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
2124.6
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
2121.4
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
2099.9
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
2096.5
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2076.9
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
2074.2
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
2070.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
2036.2
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2027.8
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
2017.6
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2017.3
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2014.8
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2012.7
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
2010.6
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
1980.9
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
1980.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1975.2
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
1947.7
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
1915.2
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
1897.8
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
1893.0
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1883.9
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
1883.4
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
1872.5
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
1867.4
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
1866.4
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
1864.1
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1856.0
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1853.4
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
1848.5
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1844.0
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
1839.6
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1824.1
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1820.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
1810.7
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1801.8
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
1795.2
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1778.6
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
1778.5
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
1775.6
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
1775.2
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
1732.2
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1732.0
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
1731.8
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
1725.3
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
1698.3
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1692.8
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
1687.4
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
1685.6
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
1678.9
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
1674.6
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
1669.9
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1667.8
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1651.3
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
1649.1
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
1620.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
1610.4
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
1591.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
1540.6
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1532.8
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1529.8
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1529.6
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1526.0
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1510.4
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1478.5
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1476.6
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
1471.1
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
1466.4
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1459.4
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1443.6
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
1438.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1421.2
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1414.7
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1396.1
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1390.2
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
1372.3
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1356.6
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
1356.3
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
1304.3
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1293.2
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1246.2
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1193.5
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
962.2
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
129.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
