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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.
RPL28 is not prognostic in Liver Hepatocellular Carcinoma (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
1760.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7823.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
7356.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6447.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6185.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
5760.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
5663.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5564.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5452.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5201.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4990.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4920.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4816.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4762.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4729.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4687.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4510.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4259.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4170.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4156.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3976.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3885.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3770.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3767.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
3761.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3734.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3696.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3634.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3587.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3571.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3570.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3560.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3428.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3411.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3361.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3337.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3309.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3295.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3267.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3206.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3174.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3113.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3077.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3073.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3064.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3051.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3034.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2820.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2802.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2797.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2745.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2742.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2734.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2689.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2675.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2660.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2632.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2605.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2559.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2539.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2489.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2487.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2473.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2463.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2438.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2380.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2379.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2378.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2374.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2362.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2358.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2347.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2341.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2317.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2294.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2284.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2272.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2253.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2252.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2249.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2244.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2225.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2215.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2198.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2189.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2185.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2169.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2166.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2163.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2136.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2127.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2126.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2091.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2088.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2087.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2042.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2034.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2032.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2000.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1949.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1949.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1947.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1942.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1917.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1885.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1863.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1858.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1853.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1846.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1837.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1786.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1763.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1762.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1754.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1742.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1736.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1736.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1734.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1727.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1727.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1715.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1710.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1695.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1694.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1691.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1689.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1687.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1685.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1668.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1653.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1651.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1639.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1629.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1628.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1625.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1623.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1622.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1619.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1618.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1616.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1599.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1589.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1588.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1585.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1584.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1584.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1580.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1580.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1577.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1565.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1564.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1560.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1560.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1558.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1555.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1545.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1543.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1540.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1538.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1534.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1532.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1531.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1529.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1518.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1518.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1514.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1508.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1507.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1501.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1499.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1486.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1481.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1476.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1468.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1468.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1461.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1454.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1451.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1451.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1447.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1444.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1442.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1441.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1437.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1436.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1435.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1432.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1430.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1425.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1419.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1418.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1417.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1414.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1407.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1400.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1389.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1389.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1389.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1386.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1382.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1380.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1373.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1366.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1364.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1357.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1354.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1336.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1332.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1330.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1327.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1324.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1320.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1316.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1309.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1304.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1302.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1297.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1297.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1278.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1275.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1274.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1265.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1264.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1247.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1238.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1237.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1222.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1215.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1214.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1205.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1204.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1201.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1195.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1192.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1184.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1176.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1173.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1170.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1162.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1156.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1148.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1148.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1143.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1139.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1136.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1134.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1116.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1116.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1113.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1108.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1107.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1097.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1093.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1090.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1085.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1082.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1080.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1080.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1077.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1072.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1069.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1063.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1061.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1059.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1051.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1051.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1048.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1039.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1036.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1033.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1022.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1013.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1011.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1010.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1010.3
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1007.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1004.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
994.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
994.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
990.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
985.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
976.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
966.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
965.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
963.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
962.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
962.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
956.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
953.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
950.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
949.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
947.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
944.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
920.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
917.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
916.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
906.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
900.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
897.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
893.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
886.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
881.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
881.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
873.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
868.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
868.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
865.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
862.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
858.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
857.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
847.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
845.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
843.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
843.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
842.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
839.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
839.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
839.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
836.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
832.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
827.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
820.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
819.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
813.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
811.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
809.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
803.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
785.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
784.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
780.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
775.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
773.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
773.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
764.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
763.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
762.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
756.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
742.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
737.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
732.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
728.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
727.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
723.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
706.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
705.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
697.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
690.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
664.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
651.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
643.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
641.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
612.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
606.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
603.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
580.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
571.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
568.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
566.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
557.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
557.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
540.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
539.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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.
RPL28 is not prognostic in Liver Hepatocellular Carcinoma (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
823.3
Number of samples
231
Samples
Sample
Description
pTPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
2777.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
2631.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2596.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
2560.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
2514.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
2422.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2391.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1973.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1922.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1896.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
1832.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
1819.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1798.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
1758.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
1667.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
1665.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
1653.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
1651.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1634.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1565.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
1543.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
1517.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1473.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
1461.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1422.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
1378.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
1372.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1369.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
1362.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1345.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1340.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
1336.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1330.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1322.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1313.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
1309.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
1298.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
1293.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1286.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
1274.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
1243.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
1212.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1206.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1191.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1150.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1138.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1119.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1115.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1114.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
1093.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
1090.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1073.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1071.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
1045.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1033.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1005.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
987.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
986.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
972.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
965.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
961.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
958.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
949.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
948.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
946.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
943.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
930.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
921.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
910.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
900.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
889.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
888.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
875.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
860.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
858.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
854.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
851.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
848.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
845.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
844.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
839.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
820.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
810.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
806.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
799.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
798.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
797.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
774.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
771.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
765.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
748.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
746.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
744.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
743.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
743.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
736.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
729.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
729.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
720.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
717.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
709.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
707.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
704.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
699.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
699.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
698.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
695.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
694.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
688.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
684.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
676.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
673.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
672.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
671.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
666.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
665.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
663.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
663.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
652.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
652.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
650.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
649.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
644.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
643.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
643.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
638.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
637.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
637.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
636.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
635.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
635.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
635.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
634.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
629.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
623.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
620.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
619.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
614.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
613.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
613.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
610.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
604.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
599.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
598.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
594.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
587.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
583.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
581.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
580.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
579.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
568.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
568.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
568.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
565.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
563.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
562.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
561.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
554.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
548.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
548.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
547.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
544.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
539.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
530.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
525.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
525.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
524.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
523.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
519.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
518.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
515.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
513.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
511.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
508.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
507.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
500.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
499.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
496.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
492.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
487.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
486.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
485.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
484.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
479.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
474.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
472.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
470.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
468.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
461.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
458.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
450.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
445.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
442.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
439.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
438.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
434.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
430.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
428.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
428.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
425.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
409.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
403.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
399.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
382.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
377.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
374.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
368.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
368.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
364.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
356.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
339.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
330.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
328.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
325.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
321.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
318.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
313.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
304.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
300.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
299.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
294.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
277.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
277.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
276.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
273.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
265.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
246.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
234.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
224.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
207.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
147.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
537
Tumor
0.7
327
Tumor
0.5
367
Tumor
0.4
567
Tumor
0.4
1021
Tumor
0.4
685
Tumor
0.4
331
Tumor
0.4
955
Tumor
0.4
937
Tumor
0.4
113
Tumor
0.3
965
Tumor
0.3
467
Tumor
0.3
353
Tumor
0.3
661
Tumor
0.3
636
Normal
0.3
545
Tumor
0.3
135
Tumor
0.3
481
Tumor
0.3
851
Tumor
0.3
413
Tumor
0.3
223
Tumor
0.3
527
Tumor
0.3
285
Tumor
0.3
131
Tumor
0.3
866
Normal
0.3
524
Normal
0.3
332
Normal
0.3
724
Normal
0.3
944
Normal
0.3
443
Tumor
0.3
195
Tumor
0.3
743
Tumor
0.3
497
Tumor
0.2
212
Normal
0.2
278
Normal
0.2
523
Tumor
0.2
533
Tumor
0.2
1025
Tumor
0.2
721
Tumor
0.2
617
Tumor
0.2
815
Tumor
0.2
756
Normal
0.2
314
Normal
0.2
535
Tumor
0.2
395
Tumor
0.2
514
Normal
0.2
412
Normal
0.2
873
Tumor
0.2
518
Normal
0.2
553
Tumor
0.2
393
Tumor
0.2
918
Normal
0.2
1027
Tumor
0.2
628
Normal
0.2
957
Tumor
0.2
172
Normal
0.2
387
Tumor
0.2
232
Normal
0.2
267
Tumor
0.2
355
Tumor
0.2
824
Normal
0.2
517
Tumor
0.2
534
Normal
0.2
513
Tumor
0.2
696
Normal
0.2
546
Normal
0.2
358
Normal
0.2
983
Tumor
0.2
554
Normal
0.2
713
Tumor
0.2
187
Tumor
0.2
528
Normal
0.2
515
Tumor
0.2
211
Tumor
0.2
723
Tumor
0.2
922
Normal
0.2
951
Tumor
0.2
474
Normal
0.2
777
Tumor
0.2
356
Normal
0.2
376
Normal
0.2
526
Normal
0.2
471
Tumor
0.2
727
Tumor
0.2
882
Normal
0.2
421
Tumor
0.2
954
Normal
0.2
938
Normal
0.2
258
Normal
0.2
738
Normal
0.2
257
Tumor
0.1
162
Normal
0.1
1044
Normal
0.1
686
Normal
0.1
385
Tumor
0.1
648
Normal
0.1
432
Normal
0.1
956
Normal
0.1
564
Normal
0.1
664
Normal
0.1
571
Tumor
0.1
414
Normal
0.1
446
Normal
0.1
745
Tumor
0.1
448
Normal
0.1
363
Tumor
0.1
462
Normal
0.1
558
Normal
0.1
573
Tumor
0.1
1026
Normal
0.1
434
Normal
0.1
984
Normal
0.1
864
Normal
0.1
755
Tumor
0.1
865
Tumor
0.1
436
Normal
0.1
568
Normal
0.1
352
Normal
0.1
368
Normal
0.1
728
Normal
0.1
952
Normal
0.1
1032
Normal
0.1
191
Tumor
0.1
516
Normal
0.1
277
Tumor
0.1
227
Tumor
0.1
1014
Normal
0.1
298
Normal
0.1
228
Normal
0.1
953
Tumor
0.1
364
Normal
0.1
473
Tumor
0.1
415
Tumor
0.1
884
Normal
0.1
878
Normal
0.1
858
Normal
0.1
411
Tumor
0.1
778
Normal
0.1
926
Normal
0.1
128
Normal
0.1
1031
Tumor
0.1
923
Tumor
0.1
981
Tumor
0.1
123
Tumor
0.1
342
Normal
0.1
1042
Normal
0.1
1022
Normal
0.1
196
Normal
0.1
958
Normal
0.1
366
Normal
0.1
852
Normal
0.1
572
Normal
0.1
114
Normal
0.1
525
Tumor
0.1
137
Tumor
0.1
392
Normal
0.1
455
Tumor
0.1
261
Tumor
0.1
362
Normal
0.1
818
Normal
0.1
817
Tumor
0.1
466
Normal
0.1
231
Tumor
0.1
867
Tumor
0.1
286
Normal
0.1
714
Normal
0.1
136
Normal
0.1
916
Normal
0.1
615
Tumor
0.1
375
Tumor
0.1
312
Normal
0.1
142
Normal
0.1
297
Tumor
0.1
742
Normal
0.1
262
Normal
0.1
857
Tumor
0.1
488
Normal
0.1
147
Tumor
0.1
185
Tumor
0.1
943
Tumor
0.1
431
Tumor
0.1
493
Tumor
0.1
171
Tumor
0.1
618
Normal
0.1
494
Normal
0.1
538
Normal
0.1
982
Normal
0.1
715
Tumor
0.1
484
Normal
0.1
344
Normal
0.1
222
Normal
0.1
148
Normal
0.1
1028
Normal
0.1
433
Tumor
0.1
978
Normal
0.1
616
Normal
0.1
384
Normal
0.1
425
Tumor
0.1
354
Normal
0.0
671
Tumor
0.0
964
Normal
0.0
785
Tumor
0.0
912
Normal
0.0
422
Normal
0.0
427
Tumor
0.0
451
Tumor
0.0
746
Normal
0.0
574
Normal
0.0
111
Normal
0.0
214
Normal
0.0
186
Normal
0.0
563
Tumor
0.0
124
Normal
0.0
428
Normal
0.0
913
Tumor
0.0
492
Normal
0.0
221
Tumor
0.0
424
Normal
0.0
394
Normal
0.0
1015
Tumor
0.0
1016
Normal
0.0
351
Tumor
0.0
722
Normal
0.0
672
Normal
0.0
272
Normal
0.0
862
Normal
0.0
328
Normal
0.0
666
Normal
0.0
188
Normal
0.0
635
Tumor
0.0
716
Normal
0.0
284
Normal
0.0
145
Tumor
0.0
967
Tumor
0.0
213
Tumor
0.0
313
Tumor
0.0
786
Normal
0.0
478
Normal
0.0
127
Tumor
0.0
396
Normal
0.0
881
Tumor
0.0
963
Tumor
0.0
975
Tumor
0.0
161
Tumor
0.0
463
Tumor
0.0
341
Tumor
0.0
365
Tumor
0.0
388
Normal
0.0
697
Tumor
0.0
1046
Normal
0.0
924
Normal
0.0
966
Normal
0.0
536
Normal
0.0
483
Tumor
0.0
468
Normal
0.0
472
Normal
0.0
343
Tumor
0.0
112
Tumor
0.0
662
Normal
0.0
271
Tumor
0.0
874
Normal
0.0
642
Normal
0.0
641
Tumor
0.0
224
Normal
0.0
695
Tumor
0.0
268
Normal
0.0
1043
Tumor
0.0
126
Normal
0.0
976
Normal
0.0
477
Tumor
0.0
665
Tumor
-0.1
464
Normal
-0.1
968
Normal
-0.1
465
Tumor
-0.1
861
Tumor
-0.1
482
Normal
-0.1
737
Tumor
-0.1
132
Normal
-0.1
461
Tumor
-0.1
416
Normal
-0.1
138
Normal
-0.1
883
Tumor
-0.1
391
Tumor
-0.1
141
Tumor
-0.1
217
Tumor
-0.1
435
Tumor
-0.1
816
Normal
-0.1
925
Tumor
-0.1
283
Tumor
-0.1
921
Tumor
-0.1
698
Normal
-0.1
386
Normal
-0.1
447
Tumor
-0.1
426
Normal
-0.1
487
Tumor
-0.1
452
Normal
-0.1
663
Tumor
-0.1
915
Tumor
-0.1
445
Tumor
-0.1
823
Tumor
-0.1
1041
Tumor
-0.1
444
Normal
-0.1
423
Tumor
-0.1
814
Normal
-0.1
125
Tumor
-0.1
146
Normal
-0.1
813
Tumor
-0.1
456
Normal
-0.1
361
Tumor
-0.1
647
Tumor
-0.1
1013
Tumor
-0.2
218
Normal
-0.2
877
Tumor
-0.2
498
Normal
-0.2
977
Tumor
-0.2
357
Tumor
-0.2
863
Tumor
-0.2
744
Normal
-0.2
383
Tumor
-0.2
627
Tumor
-0.2
868
Normal
-0.2
192
Normal
-0.3
911
Tumor
-0.3
914
Normal
-0.3
1045
Tumor
-0.3
491
Tumor
-0.3
917
Tumor
-0.3
311
Tumor
-0.3
741
Tumor
-0.3
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LIVER 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.