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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.
RPL3 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 TPM
1504.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
6209.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5091.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4976.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4446.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4120.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4076.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3678.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3373.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3320.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3227.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3155.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3140.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3135.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3134.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3079.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2987.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2945.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2920.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2903.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2812.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2730.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2724.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2724.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2722.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2717.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2684.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2679.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2676.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2673.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2657.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2552.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2519.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2486.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2476.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2476.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2468.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2461.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2457.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2429.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2426.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2419.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2401.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2397.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2329.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2306.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2284.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2282.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2255.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2229.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2224.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2206.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2171.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2116.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2101.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2055.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2049.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2036.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2029.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2019.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2017.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2004.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2000.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1997.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1985.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1983.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1971.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1958.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1957.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1952.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1946.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1946.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1937.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1929.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1914.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1906.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1898.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1885.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1877.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1875.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1867.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1831.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1821.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1816.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1815.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1812.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1806.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1794.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1782.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1780.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1778.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1776.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1764.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1746.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1733.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1730.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1729.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1728.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1726.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1715.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1707.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1690.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1674.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1668.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1668.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1660.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1659.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1658.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1658.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1655.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1650.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1648.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1643.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1632.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1626.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1624.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1623.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1618.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1612.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1611.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1604.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1603.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1603.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1598.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1598.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1587.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1569.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1568.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1563.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1560.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1559.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1556.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1556.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1547.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1539.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1536.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1528.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1523.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1518.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1518.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1500.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1498.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1497.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1482.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1481.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1475.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1474.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1473.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1462.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1459.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1458.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1447.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1447.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1447.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1444.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1444.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1443.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1437.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1434.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1434.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1429.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1424.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1420.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1417.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1408.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1405.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1403.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1399.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1391.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1386.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1383.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1382.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1381.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1380.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1373.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1365.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1356.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1355.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1352.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1350.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1350.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1344.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1338.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1336.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1329.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1329.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1329.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1321.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1317.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1317.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1312.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1307.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1304.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1300.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1295.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1282.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1278.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1277.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1277.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1274.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1272.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1254.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1253.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1252.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1249.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1236.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1234.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1231.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1230.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1226.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1220.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1215.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1210.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1190.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1190.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1189.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1189.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1185.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1184.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1184.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1183.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1181.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1180.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1180.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1180.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1179.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1177.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1177.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1175.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1173.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1160.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1156.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1153.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1153.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1151.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1148.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1145.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1137.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1137.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1130.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1129.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1127.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1125.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1122.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1118.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1112.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1111.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1098.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1098.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1097.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1095.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1091.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1090.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1090.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1086.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1086.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1085.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1067.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1059.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1050.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1046.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1045.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1044.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1044.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1040.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1027.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1025.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1015.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1014.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1013.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1012.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1008.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1007.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
999.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
997.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
996.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
993.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
991.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
983.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
980.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
974.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
973.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
972.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
967.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
964.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
961.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
961.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
958.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
954.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
953.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
951.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
947.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
946.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
946.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
946.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
941.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
936.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
925.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
920.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
916.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
915.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
912.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
898.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
891.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
888.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
887.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
886.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
886.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
884.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
884.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
882.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
881.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
879.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
878.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
870.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
867.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
865.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
859.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
858.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
849.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
839.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
839.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
833.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
825.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
824.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
823.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
818.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
816.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
802.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
795.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
790.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
777.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
761.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
761.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
755.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
747.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
734.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
697.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
688.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
684.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
678.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
671.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
670.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
670.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
668.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
668.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
662.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
662.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
660.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
657.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
655.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
653.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
652.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
646.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
633.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
627.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
625.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
624.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
572.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
517.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
450.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
443.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 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.
RPL3 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 TPM
1337.7
Number of samples
231
Samples
Sample
Description
TPM
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4590.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
4108.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3741.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
3718.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
3350.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3306.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
3119.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3113.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
2837.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
2764.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
2543.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
2535.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2518.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2507.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
2489.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
2488.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
2405.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2388.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
2369.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
2356.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
2324.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
2316.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
2295.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
2220.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
2220.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
2219.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
2208.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
2167.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2104.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
2101.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
2094.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2080.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2079.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
2058.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
2052.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
2022.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
2021.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
2001.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
1979.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1958.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1954.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
1923.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
1921.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1852.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1846.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1829.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
1789.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1786.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
1767.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1715.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1712.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
1692.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1680.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1669.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1659.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1651.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1612.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
1600.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
1584.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1561.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
1554.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1531.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1528.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1523.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
1516.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1504.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1498.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1476.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1471.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
1464.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1456.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
1444.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
1441.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1440.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
1413.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
1398.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1386.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1382.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
1377.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
1376.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1364.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
1362.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1349.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1345.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1331.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
1328.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1328.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
1326.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1308.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
1302.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1300.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
1294.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1291.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1289.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
1288.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1287.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
1281.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1279.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1274.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1270.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1269.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
1255.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1249.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1243.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1229.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
1222.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1221.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1220.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1219.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1217.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
1210.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1189.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
1179.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1174.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1160.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
1157.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
1157.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1145.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
1144.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1140.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1139.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1134.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1131.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1120.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1102.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1102.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1097.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1095.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1082.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1080.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
1073.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1067.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1066.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
1056.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1056.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1050.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1049.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1049.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1044.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1042.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1038.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1032.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1030.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1022.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1022.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1022.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
1012.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1010.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1009.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1004.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1004.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
993.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
986.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
978.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
966.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
957.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
956.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
955.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
954.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
951.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
945.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
927.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
927.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
912.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
910.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
888.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
887.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
874.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
870.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
860.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
857.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
855.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
848.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
843.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
843.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
838.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
835.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
821.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
817.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
815.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
812.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
811.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
801.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
799.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
796.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
792.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
787.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
785.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
785.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
783.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
774.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
774.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
772.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
772.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
769.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
767.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
761.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
749.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
745.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
745.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
742.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
731.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
731.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
730.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
725.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
721.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
721.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
720.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
696.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
690.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
689.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
686.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
676.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
662.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
650.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
645.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
626.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
623.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
599.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
592.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
589.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
550.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
493.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
491.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
489.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
465.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
419.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
399.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
380.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
340.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
226.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
685
Tumor
0.5
223
Tumor
0.4
1021
Tumor
0.4
367
Tumor
0.4
327
Tumor
0.4
567
Tumor
0.4
537
Tumor
0.3
285
Tumor
0.3
965
Tumor
0.3
113
Tumor
0.3
1027
Tumor
0.3
743
Tumor
0.3
851
Tumor
0.3
983
Tumor
0.3
467
Tumor
0.3
636
Normal
0.2
713
Tumor
0.2
353
Tumor
0.2
481
Tumor
0.2
331
Tumor
0.2
1025
Tumor
0.2
135
Tumor
0.2
395
Tumor
0.2
661
Tumor
0.2
227
Tumor
0.2
523
Tumor
0.2
721
Tumor
0.2
865
Tumor
0.2
937
Tumor
0.2
938
Normal
0.2
955
Tumor
0.2
815
Tumor
0.2
393
Tumor
0.2
724
Normal
0.2
517
Tumor
0.2
912
Normal
0.2
1014
Normal
0.2
981
Tumor
0.2
448
Normal
0.2
777
Tumor
0.2
413
Tumor
0.2
573
Tumor
0.2
978
Normal
0.2
267
Tumor
0.2
778
Normal
0.2
968
Normal
0.1
746
Normal
0.1
967
Tumor
0.1
1032
Normal
0.1
1026
Normal
0.1
214
Normal
0.1
131
Tumor
0.1
737
Tumor
0.1
257
Tumor
0.1
1031
Tumor
0.1
443
Tumor
0.1
387
Tumor
0.1
944
Normal
0.1
686
Normal
0.1
984
Normal
0.1
497
Tumor
0.1
745
Tumor
0.1
1022
Normal
0.1
864
Normal
0.1
696
Normal
0.1
421
Tumor
0.1
738
Normal
0.1
1028
Normal
0.1
412
Normal
0.1
385
Tumor
0.1
136
Normal
0.1
958
Normal
0.1
1041
Tumor
0.1
518
Normal
0.1
727
Tumor
0.1
356
Normal
0.1
671
Tumor
0.1
1044
Normal
0.1
966
Normal
0.1
447
Tumor
0.1
558
Normal
0.1
617
Tumor
0.1
742
Normal
0.1
526
Normal
0.1
284
Normal
0.1
785
Tumor
0.1
524
Normal
0.1
824
Normal
0.1
922
Normal
0.1
212
Normal
0.1
286
Normal
0.1
462
Normal
0.1
926
Normal
0.1
195
Tumor
0.1
351
Tumor
0.1
628
Normal
0.1
358
Normal
0.1
648
Normal
0.1
1043
Tumor
0.1
723
Tumor
0.1
525
Tumor
0.1
111
Normal
0.1
982
Normal
0.1
142
Normal
0.1
572
Normal
0.1
277
Tumor
0.1
191
Tumor
0.1
952
Normal
0.1
545
Tumor
0.1
187
Tumor
0.1
862
Normal
0.1
515
Tumor
0.1
228
Normal
0.1
137
Tumor
0.1
1015
Tumor
0.1
918
Normal
0.1
1046
Normal
0.1
535
Tumor
0.1
852
Normal
0.1
527
Tumor
0.1
536
Normal
0.1
278
Normal
0.1
123
Tumor
0.1
564
Normal
0.1
716
Normal
0.1
425
Tumor
0.1
964
Normal
0.1
953
Tumor
0.1
145
Tumor
0.1
957
Tumor
0.1
314
Normal
0.0
128
Normal
0.0
432
Normal
0.0
817
Tumor
0.0
392
Normal
0.0
222
Normal
0.0
466
Normal
0.0
923
Tumor
0.0
414
Normal
0.0
433
Tumor
0.0
213
Tumor
0.0
436
Normal
0.0
332
Normal
0.0
664
Normal
0.0
756
Normal
0.0
755
Tumor
0.0
715
Tumor
0.0
568
Normal
0.0
196
Normal
0.0
873
Tumor
0.0
124
Normal
0.0
112
Tumor
0.0
132
Normal
0.0
471
Tumor
0.0
494
Normal
0.0
534
Normal
0.0
924
Normal
0.0
546
Normal
0.0
528
Normal
0.0
114
Normal
0.0
474
Normal
0.0
232
Normal
0.0
427
Tumor
0.0
218
Normal
0.0
126
Normal
0.0
916
Normal
0.0
1016
Normal
0.0
431
Tumor
0.0
455
Tumor
0.0
697
Tumor
0.0
422
Normal
0.0
375
Tumor
0.0
516
Normal
0.0
954
Normal
0.0
728
Normal
0.0
647
Tumor
0.0
1042
Normal
0.0
147
Tumor
0.0
463
Tumor
0.0
221
Tumor
0.0
411
Tumor
0.0
452
Normal
0.0
352
Normal
0.0
786
Normal
0.0
571
Tumor
0.0
533
Tumor
0.0
394
Normal
0.0
913
Tumor
0.0
312
Normal
0.0
514
Normal
0.0
816
Normal
0.0
363
Tumor
0.0
376
Normal
0.0
813
Tumor
0.0
298
Normal
0.0
951
Tumor
0.0
426
Normal
0.0
488
Normal
0.0
823
Tumor
0.0
355
Tumor
0.0
866
Normal
0.0
484
Normal
0.0
342
Normal
0.0
172
Normal
0.0
217
Tumor
0.0
446
Normal
0.0
662
Normal
0.0
554
Normal
0.0
344
Normal
0.0
884
Normal
0.0
162
Normal
0.0
364
Normal
0.0
513
Tumor
0.0
434
Normal
0.0
714
Normal
0.0
493
Tumor
0.0
882
Normal
0.0
262
Normal
0.0
261
Tumor
0.0
665
Tumor
0.0
618
Normal
0.0
878
Normal
0.0
271
Tumor
0.0
272
Normal
0.0
975
Tumor
0.0
921
Tumor
0.0
171
Tumor
0.0
722
Normal
0.0
211
Tumor
0.0
311
Tumor
0.0
451
Tumor
0.0
698
Normal
0.0
858
Normal
0.0
186
Normal
0.0
663
Tumor
0.0
956
Normal
0.0
472
Normal
0.0
616
Normal
0.0
861
Tumor
0.0
818
Normal
-0.1
478
Normal
-0.1
461
Tumor
-0.1
914
Normal
-0.1
428
Normal
-0.1
867
Tumor
-0.1
976
Normal
-0.1
224
Normal
-0.1
666
Normal
-0.1
328
Normal
-0.1
148
Normal
-0.1
877
Tumor
-0.1
917
Tumor
-0.1
341
Tumor
-0.1
464
Normal
-0.1
388
Normal
-0.1
695
Tumor
-0.1
362
Normal
-0.1
482
Normal
-0.1
258
Normal
-0.1
188
Normal
-0.1
185
Tumor
-0.1
146
Normal
-0.1
925
Tumor
-0.1
553
Tumor
-0.1
138
Normal
-0.1
354
Normal
-0.1
357
Tumor
-0.1
814
Normal
-0.1
231
Tumor
-0.1
424
Normal
-0.1
963
Tumor
-0.1
857
Tumor
-0.1
977
Tumor
-0.1
672
Normal
-0.1
127
Tumor
-0.1
883
Tumor
-0.1
465
Tumor
-0.1
297
Tumor
-0.1
445
Tumor
-0.1
563
Tumor
-0.1
492
Normal
-0.1
642
Normal
-0.1
468
Normal
-0.1
141
Tumor
-0.1
943
Tumor
-0.1
313
Tumor
-0.1
283
Tumor
-0.1
477
Tumor
-0.1
574
Normal
-0.1
343
Tumor
-0.1
415
Tumor
-0.1
125
Tumor
-0.1
915
Tumor
-0.1
416
Normal
-0.1
384
Normal
-0.1
386
Normal
-0.1
1013
Tumor
-0.1
396
Normal
-0.1
635
Tumor
-0.1
473
Tumor
-0.1
444
Normal
-0.1
615
Tumor
-0.1
487
Tumor
-0.1
423
Tumor
-0.1
881
Tumor
-0.2
161
Tumor
-0.2
435
Tumor
-0.2
483
Tumor
-0.2
874
Normal
-0.2
368
Normal
-0.2
538
Normal
-0.2
744
Normal
-0.2
366
Normal
-0.2
365
Tumor
-0.2
456
Normal
-0.2
911
Tumor
-0.2
641
Tumor
-0.2
1045
Tumor
-0.2
391
Tumor
-0.2
741
Tumor
-0.2
268
Normal
-0.2
361
Tumor
-0.2
491
Tumor
-0.3
192
Normal
-0.3
498
Normal
-0.3
383
Tumor
-0.3
863
Tumor
-0.3
627
Tumor
-0.4
868
Normal
-0.4
Show allShow less
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.
The Human Protein Atlas project is funded
