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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.
RPL18A is validated prognostic, high expression is unfavorable 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
1365.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
9896.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6023.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5200.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5132.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5028.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4891.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4641.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4637.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4554.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4469.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4235.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3820.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3668.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3599.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3348.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3249.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3248.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3053.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3050.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2993.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2949.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2928.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2908.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2846.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2842.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2724.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2706.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2638.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2603.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2583.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2513.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2504.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2474.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2463.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2449.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2434.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2422.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2390.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2383.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2350.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2333.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2332.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2316.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2308.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2293.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2275.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2209.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2209.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2188.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2179.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2127.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2107.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2102.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2100.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2080.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2048.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2038.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2026.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1953.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1950.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1938.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1924.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1922.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1847.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1806.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1777.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1758.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1756.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1748.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1725.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1722.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1710.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1689.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1674.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1667.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1638.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1624.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1612.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1611.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1605.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1605.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1604.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1600.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1597.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1596.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1586.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1585.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1583.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1557.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1547.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1545.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1537.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1528.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1525.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1524.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1508.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1505.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1500.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1488.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1463.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1456.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1449.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1446.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1440.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1437.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1432.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1432.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1422.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1417.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1412.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1397.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1392.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1391.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1387.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1384.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1370.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1361.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1357.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1354.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1352.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1348.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1345.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1330.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1330.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1324.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1320.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1317.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1316.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1313.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1291.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1291.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1287.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1278.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1277.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1270.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1266.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1264.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1261.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1260.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1259.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1258.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1255.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1247.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1237.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1235.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1232.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1223.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1209.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1204.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1193.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1184.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1182.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1170.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1164.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1158.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1154.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1152.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1152.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1150.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1147.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1146.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1146.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1142.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1141.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1139.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1138.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1135.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1130.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1125.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1124.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1121.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1121.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1113.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1111.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1105.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1100.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1097.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1096.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1095.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1089.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1089.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1089.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1082.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1075.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1073.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1073.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1072.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1069.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1066.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1062.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1061.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1058.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1046.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1043.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1038.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1036.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1035.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1034.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1026.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1026.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1026.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1025.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1023.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1022.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1022.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1012.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1011.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1008.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1004.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
996.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
995.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
994.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
988.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
985.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
972.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
969.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
966.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
964.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
962.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
962.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
961.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
959.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
955.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
955.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
955.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
954.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
954.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
953.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
951.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
950.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
950.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
939.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
934.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
934.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
933.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
930.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
919.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
907.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
904.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
900.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
898.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
896.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
888.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
885.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
873.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
866.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
866.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
864.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
858.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
856.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
847.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
846.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
844.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
838.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
836.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
834.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
833.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
831.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
829.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
825.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
823.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
817.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
816.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
814.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
814.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
813.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
810.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
802.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
802.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
798.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
793.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
791.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
790.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
789.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
789.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
784.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
784.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
781.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
779.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
779.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
765.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
763.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
760.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
759.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
752.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
751.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
736.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
736.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
733.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
728.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
726.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
721.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
721.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
719.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
719.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
716.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
716.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
703.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
703.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
693.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
691.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
690.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
684.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
682.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
681.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
680.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
670.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
666.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
666.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
666.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
666.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
663.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
663.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
662.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
658.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
656.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
652.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
651.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
650.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
648.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
648.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
643.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
642.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
637.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
635.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
634.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
632.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
630.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
630.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
629.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
623.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
601.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
597.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
594.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
593.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
583.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
582.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
572.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
561.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
558.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
552.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
552.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
550.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
546.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
546.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
531.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
530.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
527.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
527.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
510.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
505.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
484.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
477.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
470.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
464.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
464.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
458.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
444.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
439.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
437.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 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.
RPL18A is validated prognostic, high expression is unfavorable 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
1224.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
5437.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
3922.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
3841.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
3692.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
3404.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3365.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
3349.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
3343.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
3254.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
3188.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
2914.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
2907.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2879.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
2684.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2517.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2425.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2387.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
2369.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
2362.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
2351.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
2331.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2325.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
2315.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
2292.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2282.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
2265.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
2263.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2234.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
2208.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
2157.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
2094.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
2086.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2079.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
2060.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
1987.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
1956.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1911.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
1904.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1878.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1871.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1826.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1816.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1810.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1804.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1784.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1703.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1688.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1668.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1621.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
1598.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1595.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
1586.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1559.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1559.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
1509.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1498.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1497.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1486.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1473.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
1465.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1460.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1459.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1452.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
1447.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1434.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1421.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1405.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1395.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1381.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
1376.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1342.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
1314.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1304.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1288.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
1281.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
1279.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
1268.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1253.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1245.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
1240.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1223.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1215.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1210.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1207.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1202.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
1195.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1183.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1175.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1173.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
1173.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
1167.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1167.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1163.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1157.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
1155.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
1149.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1149.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1133.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1119.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
1109.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1109.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1107.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1090.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
1078.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1052.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1044.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1041.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
1035.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1026.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
1021.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1020.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
1019.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
1010.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1008.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
1006.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
1006.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
992.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
991.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
988.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
983.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
969.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
967.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
964.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
964.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
962.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
959.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
955.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
950.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
935.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
916.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
914.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
905.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
900.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
897.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
885.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
879.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
873.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
869.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
857.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
854.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
849.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
838.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
833.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
823.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
810.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
805.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
800.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
797.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
795.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
795.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
791.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
785.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
782.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
782.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
776.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
775.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
773.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
771.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
765.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
765.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
765.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
763.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
762.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
757.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
754.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
748.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
747.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
745.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
741.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
740.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
739.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
731.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
731.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
729.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
724.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
717.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
707.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
703.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
691.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
690.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
686.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
679.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
671.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
644.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
635.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
611.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
608.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
601.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
591.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
590.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
587.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
570.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
568.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
560.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
549.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
548.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
545.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
542.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
539.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
532.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
531.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
519.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
517.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
513.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
498.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
497.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
492.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
491.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
487.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
483.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
483.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
478.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
474.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
473.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
459.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
449.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
444.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
440.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
434.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
425.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
405.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
401.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
383.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
380.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
343.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
335.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
334.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
329.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
280.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
244.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
219.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
685
Tumor
0.5
557
Tumor
0.5
523
Tumor
0.4
661
Tumor
0.4
331
Tumor
0.3
367
Tumor
0.3
327
Tumor
0.3
395
Tumor
0.3
567
Tumor
0.3
815
Tumor
0.3
1021
Tumor
0.3
353
Tumor
0.3
267
Tumor
0.3
393
Tumor
0.3
937
Tumor
0.3
277
Tumor
0.3
285
Tumor
0.3
314
Normal
0.3
545
Tumor
0.2
515
Tumor
0.2
537
Tumor
0.2
965
Tumor
0.2
278
Normal
0.2
1027
Tumor
0.2
223
Tumor
0.2
257
Tumor
0.2
851
Tumor
0.2
312
Normal
0.2
1025
Tumor
0.2
955
Tumor
0.2
518
Normal
0.2
385
Tumor
0.2
467
Tumor
0.2
332
Normal
0.2
983
Tumor
0.2
866
Normal
0.2
497
Tumor
0.2
473
Tumor
0.2
375
Tumor
0.2
113
Tumor
0.2
412
Normal
0.1
817
Tumor
0.1
1031
Tumor
0.1
568
Normal
0.1
421
Tumor
0.1
574
Normal
0.1
232
Normal
0.1
387
Tumor
0.1
227
Tumor
0.1
527
Tumor
0.1
1026
Normal
0.1
136
Normal
0.1
864
Normal
0.1
271
Tumor
0.1
516
Normal
0.1
415
Tumor
0.1
231
Tumor
0.1
135
Tumor
0.1
425
Tumor
0.1
392
Normal
0.1
123
Tumor
0.1
214
Normal
0.1
697
Tumor
0.1
525
Tumor
0.1
358
Normal
0.1
877
Tumor
0.1
564
Normal
0.1
413
Tumor
0.1
554
Normal
0.1
918
Normal
0.1
571
Tumor
0.1
535
Tumor
0.1
777
Tumor
0.1
313
Tumor
0.1
517
Tumor
0.1
131
Tumor
0.1
147
Tumor
0.1
724
Normal
0.1
422
Normal
0.1
342
Normal
0.1
546
Normal
0.1
727
Tumor
0.1
524
Normal
0.1
436
Normal
0.1
573
Tumor
0.1
966
Normal
0.1
146
Normal
0.1
142
Normal
0.1
351
Tumor
0.1
357
Tumor
0.1
344
Normal
0.1
916
Normal
0.1
925
Tumor
0.1
448
Normal
0.1
484
Normal
0.1
553
Tumor
0.1
713
Tumor
0.1
862
Normal
0.1
1015
Tumor
0.1
355
Tumor
0.1
443
Tumor
0.0
865
Tumor
0.0
185
Tumor
0.0
474
Normal
0.0
957
Tumor
0.0
745
Tumor
0.0
124
Normal
0.0
696
Normal
0.0
778
Normal
0.0
481
Tumor
0.0
465
Tumor
0.0
1028
Normal
0.0
534
Normal
0.0
715
Tumor
0.0
1042
Normal
0.0
952
Normal
0.0
376
Normal
0.0
878
Normal
0.0
1043
Tumor
0.0
493
Tumor
0.0
363
Tumor
0.0
261
Tumor
0.0
968
Normal
0.0
112
Tumor
0.0
513
Tumor
0.0
617
Tumor
0.0
923
Tumor
0.0
746
Normal
0.0
352
Normal
0.0
111
Normal
0.0
471
Tumor
0.0
951
Tumor
0.0
922
Normal
0.0
526
Normal
0.0
737
Tumor
0.0
138
Normal
0.0
1016
Normal
0.0
114
Normal
0.0
981
Tumor
0.0
298
Normal
0.0
494
Normal
0.0
212
Normal
0.0
213
Tumor
0.0
913
Tumor
0.0
137
Tumor
0.0
492
Normal
0.0
187
Tumor
0.0
721
Tumor
0.0
343
Tumor
0.0
823
Tumor
0.0
368
Normal
0.0
171
Tumor
0.0
1014
Normal
0.0
416
Normal
0.0
944
Normal
0.0
462
Normal
0.0
258
Normal
0.0
434
Normal
0.0
924
Normal
0.0
533
Tumor
0.0
956
Normal
0.0
341
Tumor
0.0
272
Normal
0.0
128
Normal
0.0
538
Normal
0.0
483
Tumor
0.0
743
Tumor
0.0
686
Normal
0.0
984
Normal
0.0
132
Normal
0.0
816
Normal
0.0
738
Normal
0.0
452
Normal
0.0
938
Normal
0.0
528
Normal
0.0
362
Normal
0.0
354
Normal
0.0
967
Tumor
0.0
926
Normal
0.0
384
Normal
0.0
432
Normal
0.0
192
Normal
0.0
477
Tumor
0.0
472
Normal
0.0
262
Normal
0.0
698
Normal
0.0
874
Normal
0.0
982
Normal
0.0
963
Tumor
0.0
882
Normal
0.0
388
Normal
0.0
268
Normal
0.0
366
Normal
0.0
218
Normal
0.0
1044
Normal
0.0
447
Tumor
0.0
451
Tumor
0.0
386
Normal
0.0
464
Normal
0.0
1022
Normal
0.0
1041
Tumor
0.0
463
Tumor
0.0
976
Normal
0.0
461
Tumor
0.0
722
Normal
0.0
414
Normal
0.0
728
Normal
0.0
297
Tumor
-0.1
222
Normal
-0.1
455
Tumor
-0.1
914
Normal
-0.1
446
Normal
-0.1
172
Normal
-0.1
536
Normal
-0.1
228
Normal
-0.1
785
Tumor
-0.1
394
Normal
-0.1
286
Normal
-0.1
953
Tumor
-0.1
196
Normal
-0.1
217
Tumor
-0.1
411
Tumor
-0.1
311
Tumor
-0.1
466
Normal
-0.1
852
Normal
-0.1
427
Tumor
-0.1
424
Normal
-0.1
211
Tumor
-0.1
943
Tumor
-0.1
328
Normal
-0.1
356
Normal
-0.1
824
Normal
-0.1
912
Normal
-0.1
428
Normal
-0.1
491
Tumor
-0.1
186
Normal
-0.1
283
Tumor
-0.1
755
Tumor
-0.1
813
Tumor
-0.1
635
Tumor
-0.1
161
Tumor
-0.1
125
Tumor
-0.1
664
Normal
-0.1
672
Normal
-0.1
572
Normal
-0.1
456
Normal
-0.1
1046
Normal
-0.1
224
Normal
-0.1
917
Tumor
-0.1
221
Tumor
-0.1
857
Tumor
-0.1
365
Tumor
-0.1
873
Tumor
-0.1
663
Tumor
-0.1
364
Normal
-0.1
618
Normal
-0.1
671
Tumor
-0.1
915
Tumor
-0.1
975
Tumor
-0.1
861
Tumor
-0.1
487
Tumor
-0.1
145
Tumor
-0.1
431
Tumor
-0.1
964
Normal
-0.1
445
Tumor
-0.1
426
Normal
-0.1
488
Normal
-0.1
714
Normal
-0.1
514
Normal
-0.1
818
Normal
-0.1
883
Tumor
-0.1
742
Normal
-0.1
423
Tumor
-0.1
383
Tumor
-0.1
647
Tumor
-0.1
162
Normal
-0.1
858
Normal
-0.1
361
Tumor
-0.1
1032
Normal
-0.1
433
Tumor
-0.1
921
Tumor
-0.1
695
Tumor
-0.1
141
Tumor
-0.1
756
Normal
-0.1
391
Tumor
-0.1
867
Tumor
-0.1
954
Normal
-0.1
636
Normal
-0.1
435
Tumor
-0.1
558
Normal
-0.1
396
Normal
-0.1
482
Normal
-0.1
284
Normal
-0.1
978
Normal
-0.2
662
Normal
-0.2
786
Normal
-0.2
881
Tumor
-0.2
191
Tumor
-0.2
744
Normal
-0.2
814
Normal
-0.2
616
Normal
-0.2
648
Normal
-0.2
563
Tumor
-0.2
148
Normal
-0.2
977
Tumor
-0.2
468
Normal
-0.2
126
Normal
-0.2
478
Normal
-0.2
716
Normal
-0.2
615
Tumor
-0.2
884
Normal
-0.2
958
Normal
-0.2
628
Normal
-0.2
188
Normal
-0.2
911
Tumor
-0.2
195
Tumor
-0.2
642
Normal
-0.2
444
Normal
-0.2
723
Tumor
-0.2
127
Tumor
-0.3
1045
Tumor
-0.3
1013
Tumor
-0.3
741
Tumor
-0.3
627
Tumor
-0.3
666
Normal
-0.3
498
Normal
-0.4
868
Normal
-0.4
665
Tumor
-0.4
863
Tumor
-0.4
641
Tumor
-0.5
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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.
The Human Protein Atlas project is funded
