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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 pTPM
8223.4
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
18524.2
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
18373.4
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
15253.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
15232.8
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
15077.6
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
14568.6
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
14468.5
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
13849.8
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
13796.8
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
13272.4
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
13187.1
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
13159.7
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
13154.5
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13119.9
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
12969.0
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
12721.5
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
12567.5
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
12349.8
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
12111.4
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
12102.9
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
11981.2
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
11918.1
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
11907.8
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
11809.8
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
11476.9
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
11448.5
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
11288.5
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
11199.2
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
11156.3
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
11146.2
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
11057.1
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
11016.6
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
10986.4
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
10979.8
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
10974.2
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
10786.7
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
10766.5
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
10661.0
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
10595.1
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
10532.4
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
10372.8
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
10371.9
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
10301.7
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
10285.8
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
10276.6
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
10191.2
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
10158.2
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
10110.8
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
10098.0
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
9947.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9865.7
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
9818.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
9813.4
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
9804.7
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
9768.0
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
9760.2
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
9729.4
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
9705.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
9694.3
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9667.2
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
9621.5
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
9569.4
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
9516.6
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
9423.6
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
9369.4
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9363.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
9354.9
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
9339.7
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
9315.9
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
9277.3
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
9276.6
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
9269.8
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
9252.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
9236.6
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
9188.2
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
9154.5
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
9093.0
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
9079.5
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9076.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
9072.8
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
9051.9
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
9023.6
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
8964.1
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
8962.4
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
8917.5
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
8908.3
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
8876.8
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
8849.2
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
8796.6
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
8775.9
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
8768.0
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
8764.8
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
8651.6
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
8623.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8584.1
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8554.2
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
8504.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
8501.0
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
8477.2
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
8458.0
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
8386.5
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
8375.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
8320.7
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
8299.4
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
8296.2
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8250.4
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
8187.7
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
8162.3
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
8145.8
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
8098.7
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
8093.1
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
8088.2
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
8088.0
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
8078.1
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
8029.7
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
8010.4
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
8006.7
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
7993.7
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
7942.0
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
7888.5
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
7882.6
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
7828.2
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
7810.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
7808.7
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
7753.6
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
7690.9
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
7682.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
7597.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
7594.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
7586.5
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
7582.2
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
7578.9
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
7551.1
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
7526.3
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
7501.4
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
7499.0
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
7494.1
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
7475.0
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
7460.5
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
7404.7
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
7391.5
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7357.9
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
7343.8
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7325.3
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
7304.5
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
7304.1
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
7292.1
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
7279.3
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
7277.3
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
7255.5
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
7254.0
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7242.7
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
7232.9
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
7224.9
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
7188.5
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
7161.4
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
7150.7
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
7140.7
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
7090.2
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
7086.4
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7080.6
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7065.2
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7059.2
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
7045.6
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
7037.5
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
7035.9
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7024.0
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
6994.8
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
6969.1
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
6947.7
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
6932.2
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
6930.0
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
6883.5
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
6854.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
6837.1
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
6828.4
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6813.2
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
6812.1
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
6747.2
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
6734.3
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
6729.4
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
6708.0
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
6674.6
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
6670.5
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
6650.5
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
6649.5
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
6642.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
6637.8
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
6601.3
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
6596.8
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
6592.8
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
6568.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
6543.2
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
6538.9
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
6527.9
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
6476.9
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
6404.8
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
6385.8
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
6381.3
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
6333.1
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
6305.7
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
6278.5
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
6255.9
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
6230.0
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
6195.6
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6155.6
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6141.7
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
6111.0
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6109.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
6102.7
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
6069.3
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
6044.4
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6032.4
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
5975.3
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
5972.6
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5934.7
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
5865.2
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
5782.9
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5779.8
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
5765.8
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
5717.4
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
5681.1
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
5678.2
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
5673.0
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5636.4
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5596.3
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5503.2
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
5486.5
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5483.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
5427.5
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
5415.7
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
5409.1
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
5354.8
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
5284.5
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
5226.0
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
5218.1
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
5209.0
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
5204.5
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
5155.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
5141.6
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
5086.9
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
5056.6
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
5053.3
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
5021.4
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
5007.4
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
5003.3
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4804.8
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
4709.6
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
4588.6
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
4345.8
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
4289.4
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
4278.0
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4060.2
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 pTPM
4189.8
Number of samples
486
Samples
Sample
Description
pTPM
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
9008.7
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
8449.3
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
7779.3
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
7627.3
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
7533.5
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
7474.6
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
7427.7
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
7381.1
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
7340.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
7292.4
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
7280.2
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
6933.6
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
6783.9
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
6684.8
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
6676.5
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
6672.0
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
6654.3
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
6605.7
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
6524.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
6321.3
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
6301.1
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
6284.3
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
6282.6
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
6258.5
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
6257.3
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
6218.0
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
6214.2
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
6195.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
6192.8
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
6182.2
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
6157.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
6145.8
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
6129.6
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
6119.8
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
6104.8
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
6083.7
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
6072.9
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
6068.1
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
6024.5
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
6021.9
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
6010.1
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
6002.9
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
6000.6
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
5962.1
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
5951.8
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
5947.2
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
5911.1
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
5901.2
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
5888.6
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
5880.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
5852.6
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
5846.2
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
5839.8
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
5831.5
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
5793.3
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
5789.6
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
5694.4
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
5650.2
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
5644.6
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
5631.9
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
5624.8
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
5591.4
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
5563.6
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
5558.5
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
5532.8
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
5522.0
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
5519.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
5487.4
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
5473.4
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
5471.2
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
5469.1
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
5462.7
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
5458.1
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
5418.5
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
5383.1
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
5357.9
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
5356.5
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
5333.7
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
5278.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
5275.7
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
5270.6
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
5255.7
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
5254.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
5241.1
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
5237.4
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
5217.2
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
5214.6
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
5208.9
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
5207.4
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
5194.9
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
5194.7
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
5174.4
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
5173.2
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
5158.9
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
5156.2
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
5139.5
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
5112.4
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
5103.2
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
5083.7
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
5050.5
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
5043.6
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
5035.9
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
5024.4
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
5008.5
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
5008.2
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
4979.6
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4973.0
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
4972.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
4970.9
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
4969.5
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
4949.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
4948.8
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
4948.3
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
4944.3
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
4939.9
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
4931.5
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
4930.9
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
4893.0
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
4890.0
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
4858.8
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
4852.1
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
4834.5
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
4831.1
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4826.1
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
4826.0
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
4821.5
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
4819.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
4815.1
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4807.4
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
4801.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
4745.0
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
4740.0
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
4721.8
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
4718.7
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
4712.1
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
4709.9
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
4708.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
4695.8
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
4693.1
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
4684.4
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4680.0
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
4678.2
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
4675.3
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
4674.5
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
4673.1
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
4670.1
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
4664.8
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
4661.6
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
4641.0
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
4630.7
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
4625.8
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
4618.2
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
4608.2
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
4604.1
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
4602.9
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
4601.6
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
4598.6
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
4594.0
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
4592.2
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
4590.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
4585.0
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
4566.8
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
4566.3
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
4562.8
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
4549.6
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
4543.0
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
4536.9
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4517.3
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
4513.1
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
4511.4
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
4510.3
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
4510.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
4494.9
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
4487.1
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
4486.1
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
4481.4
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
4480.4
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4477.8
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4466.9
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
4464.7
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
4455.6
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
4455.1
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
4453.4
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4448.9
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
4443.7
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
4433.6
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
4423.1
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
4422.8
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
4417.6
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
4417.5
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
4410.9
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
4408.2
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
4405.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
4394.3
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
4379.9
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
4376.7
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
4374.6
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
4372.8
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
4371.2
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
4368.8
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
4363.9
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4357.2
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
4356.8
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4343.1
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
4342.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
4333.3
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
4329.1
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
4327.7
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
4326.7
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
4324.4
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
4321.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
4291.0
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
4286.6
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
4276.0
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
4269.5
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
4265.7
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
4262.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
4258.3
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
4253.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
4249.6
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
4239.6
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
4237.7
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
4229.8
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
4222.0
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
4215.9
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
4204.8
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4199.1
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
4198.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
4188.2
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
4187.2
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
4186.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
4186.2
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
4174.1
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
4167.3
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
4158.0
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
4142.4
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
4130.4
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
4129.5
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
4119.9
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
4113.7
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
4113.1
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
4111.6
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
4109.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
4108.5
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
4089.7
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
4087.5
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
4080.6
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
4077.7
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
4075.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
4066.8
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
4066.6
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
4061.3
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
4060.9
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
4056.3
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
4048.5
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
4046.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
4039.6
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
4033.1
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
4010.1
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
4008.3
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
4000.1
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3987.1
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
3985.1
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
3983.7
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3981.0
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
3976.2
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3971.5
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
3953.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
3940.7
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
3939.3
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
3939.1
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
3936.0
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
3934.3
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
3932.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
3930.2
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
3919.0
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
3918.2
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3916.0
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
3905.2
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
3900.5
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
3900.4
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3894.9
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
3892.7
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
3877.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
3854.4
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
3849.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
3830.9
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
3830.6
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
3827.6
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
3822.1
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
3820.9
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
3810.8
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
3806.1
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
3804.7
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3792.0
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
3788.2
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3782.5
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
3779.6
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
3779.4
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
3775.9
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
3769.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
3751.9
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
3749.8
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
3744.9
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3742.1
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
3741.1
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
3737.7
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
3737.4
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
3724.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
3720.9
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
3716.9
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
3715.9
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
3712.5
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
3711.2
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
3709.0
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
3708.4
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
3707.2
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3703.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
3699.7
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
3688.1
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
3686.3
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
3680.1
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
3659.8
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
3648.5
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
3643.9
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
3642.8
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
3632.3
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3628.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
3591.9
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
3587.9
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
3581.9
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
3575.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3565.2
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
3564.2
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
3555.7
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
3534.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
3517.5
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
3506.1
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
3486.2
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
3475.4
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3473.4
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
3471.8
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
3470.7
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
3460.0
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
3454.4
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3451.7
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
3450.7
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
3449.2
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
3424.2
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
3424.2
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
3398.0
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
3386.8
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
3383.4
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
3378.0
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
3377.5
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
3368.8
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
3363.1
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
3362.8
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
3357.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
3344.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
3343.3
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
3339.2
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
3330.4
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
3324.6
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
3323.6
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
3313.2
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
3310.6
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
3303.0
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
3300.4
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
3286.5
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
3284.0
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
3271.1
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
3266.5
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
3256.5
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3249.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
3210.5
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
3209.2
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
3195.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
3174.4
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3173.0
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
3159.4
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
3156.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
3149.9
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
3149.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3147.8
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
3145.0
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
3144.6
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
3139.1
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
3123.5
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
3115.7
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
3110.5
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
3098.6
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
3092.1
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
3083.3
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
3079.1
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
3073.4
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
3064.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
3058.3
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
3058.0
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
3048.3
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
3048.1
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
3045.5
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
3020.5
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
3013.3
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
3002.5
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
3002.3
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
2990.6
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
2987.7
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2987.1
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2980.4
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2976.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2963.8
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2961.9
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
2959.1
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
2957.3
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2954.7
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
2942.3
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
2930.1
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2901.6
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
2899.7
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
2880.8
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2879.8
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
2872.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2863.0
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2844.6
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2843.1
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2842.9
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
2842.7
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2811.0
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
2802.7
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2795.8
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2794.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
2789.8
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2784.3
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
2783.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2775.3
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
2762.8
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
2757.3
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
2753.0
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2746.8
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
2733.3
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2725.9
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
2724.7
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2705.4
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
2698.9
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
2695.5
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
2677.3
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
2668.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
2658.8
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
2654.4
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2649.1
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2632.2
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
2630.7
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
2627.1
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
2621.8
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
2590.6
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
2560.8
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
2541.0
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
2503.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
2489.5
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2485.2
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
2483.1
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
2482.1
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2480.0
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
2447.1
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
2428.3
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2395.1
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
2390.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
2356.9
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
2356.6
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
2322.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
2219.7
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2202.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
2195.3
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
2195.0
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
2162.4
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2157.1
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
2146.4
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
2127.7
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
2047.3
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1991.3
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
1963.8
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
1943.8
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
1802.8
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
1474.9
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
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 pTPM
8224.8
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
18251.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
15500.6
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
15495.9
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
14768.2
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
14234.3
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
12814.9
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
11780.3
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
11622.1
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
11612.8
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
11174.2
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
10951.5
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
10753.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
10666.5
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
10573.3
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
10315.2
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
10148.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
10130.6
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
9877.2
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
9829.3
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
9733.1
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
9601.2
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
9567.6
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
9463.5
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
9447.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
9202.9
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
9167.1
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
9047.3
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
8919.5
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
8887.0
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
8816.6
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
8805.8
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
8802.3
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
8610.5
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
8574.9
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
8553.0
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
8369.5
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
8337.9
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
8254.4
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
8127.2
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
8028.4
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
7927.4
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
7781.7
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
7778.2
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
7762.0
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
7700.8
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
7638.3
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
7608.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
7565.1
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
7443.0
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
7373.7
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7370.6
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
7316.9
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
7228.1
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
7101.7
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
7039.6
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
7021.0
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
6969.4
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
6901.1
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
6889.9
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
6872.7
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
6857.9
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
6823.7
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
6765.0
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
6681.0
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
6473.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
6411.2
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
6407.2
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
6364.2
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
6289.1
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
6167.4
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
6162.6
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
6152.4
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
6149.8
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
6102.5
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6058.3
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6032.1
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
5852.3
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
5575.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
5351.8
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
5350.3
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
5344.7
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5299.1
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
5156.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
5118.8
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
4839.3
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
4122.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
3749.9
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 pTPM
3266.0
Number of samples
207
Samples
Sample
Description
pTPM
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
7993.8
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
7156.0
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
7014.7
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
5806.9
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
5805.9
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
5757.9
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
5745.1
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
5624.9
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
5521.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
5449.6
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
5394.4
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
5224.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
5177.7
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
5158.6
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
5043.5
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
5041.7
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
5014.3
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
4858.8
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
4677.6
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
4601.9
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
4599.9
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
4532.9
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
4509.5
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
4494.7
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
4483.8
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
4451.5
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
4430.4
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
4412.5
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
4403.7
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
4312.1
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
4301.8
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
4301.2
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
4298.8
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
4294.6
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
4291.6
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
4278.1
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
4253.9
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
4243.8
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
4200.7
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
4098.6
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
4051.5
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
4038.6
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
4029.2
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
4014.2
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
3995.0
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
3977.2
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
3976.5
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
3930.0
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
3910.1
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
3909.0
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
3883.2
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
3868.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
3848.8
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
3833.6
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3833.2
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
3764.5
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
3725.7
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3674.9
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
3671.3
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
3665.0
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
3639.4
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
3638.4
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
3636.2
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
3626.7
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
3614.5
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
3583.7
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
3559.5
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
3519.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
3498.3
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
3475.3
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
3473.8
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
3460.3
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
3441.1
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3436.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
3435.4
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
3432.5
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
3431.6
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
3428.5
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
3424.9
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
3424.2
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
3416.0
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
3383.4
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
3381.3
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
3355.4
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
3334.5
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
3333.7
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
3294.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
3288.4
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
3286.0
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3277.4
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
3271.9
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
3269.1
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3210.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3209.2
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
3206.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
3190.1
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
3183.5
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
3163.6
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
3145.0
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
3144.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
3142.8
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
3124.9
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
3102.6
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
3096.4
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
3062.8
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
3052.5
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
3025.5
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
3023.2
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
3010.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
2999.6
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2986.3
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2973.7
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2960.9
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
2956.2
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
2944.2
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2939.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2937.0
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2931.7
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
2926.9
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
2921.1
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2879.3
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2875.7
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
2870.9
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
2869.3
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
2858.9
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
2851.8
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2850.7
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
2840.0
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2821.1
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2813.1
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2802.8
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
2792.7
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
2790.2
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
2780.7
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
2759.2
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
2756.0
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2721.9
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2717.8
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
2711.8
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2703.3
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2640.2
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
2631.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
2626.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
2620.9
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
2613.8
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
2603.8
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
2603.1
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
2593.2
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2578.8
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2565.4
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
2559.6
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
2535.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
2527.0
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
2507.9
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
2493.8
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2492.2
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
2481.1
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
2471.0
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2468.8
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2459.2
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
2457.2
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
2442.8
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
2430.9
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2428.4
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
2427.8
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
2419.7
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
2391.8
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2366.7
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2353.3
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
2336.7
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
2320.4
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
2318.7
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
2293.6
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2236.1
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
2230.7
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
2221.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
2205.9
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
2202.4
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
2187.6
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
2170.6
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
2147.5
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
2138.8
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2095.4
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
2091.3
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
2082.6
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
2066.8
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
2062.5
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2053.0
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
2045.7
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
2018.5
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
2007.6
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1993.2
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
1950.0
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
1889.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1880.5
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1874.1
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1871.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1856.6
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1842.0
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1837.1
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
1815.7
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1810.2
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1715.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1597.0
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1525.7
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1336.7
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
370.7
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
