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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.
EEF1G is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1008.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5898.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3796.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3630.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3241.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3083.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2914.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2768.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2641.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2582.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2421.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2416.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2391.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2295.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2292.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2102.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2008.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1978.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1973.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1938.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1928.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1896.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1866.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1842.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1777.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1772.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1764.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1755.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1755.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1746.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1742.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1713.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1703.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1697.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1695.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1683.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1676.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1667.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1641.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1640.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1633.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1622.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1612.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1607.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1594.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1585.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1579.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1579.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1575.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1558.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1543.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1541.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1516.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1511.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1475.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1472.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1469.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1461.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1437.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1430.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1427.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1417.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1415.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1406.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1406.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1403.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1396.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1373.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1373.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1365.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1362.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1342.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1339.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1319.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1308.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1305.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1305.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1273.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1265.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1263.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1255.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1251.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1246.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1233.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1225.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1218.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1197.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1192.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1174.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1171.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1169.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1163.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1162.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1158.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1158.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1154.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1145.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1143.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1141.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1133.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1132.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1120.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1113.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1113.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1102.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1094.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1091.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1079.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1078.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1071.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1071.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1071.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1067.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1063.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1062.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1061.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1057.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1055.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1053.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1051.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1048.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1046.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1043.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1039.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1037.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1025.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1022.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1020.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1010.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1009.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1006.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1005.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1005.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1005.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
996.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
989.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
987.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
978.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
977.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
966.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
964.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
960.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
957.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
956.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
956.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
953.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
952.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
949.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
944.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
944.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
941.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
939.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
935.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
933.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
932.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
929.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
924.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
924.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
920.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
920.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
918.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
911.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
911.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
909.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
909.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
908.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
907.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
899.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
899.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
898.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
893.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
890.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
884.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
883.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
882.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
872.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
869.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
869.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
868.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
864.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
863.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
862.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
861.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
854.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
852.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
848.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
845.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
842.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
841.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
831.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
830.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
829.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
818.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
817.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
816.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
815.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
813.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
812.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
810.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
810.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
807.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
805.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
803.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
803.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
798.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
797.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
789.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
787.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
783.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
782.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
780.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
780.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
777.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
773.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
772.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
772.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
770.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
766.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
763.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
761.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
759.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
755.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
754.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
753.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
753.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
752.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
747.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
747.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
747.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
745.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
745.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
743.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
743.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
740.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
736.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
732.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
731.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
730.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
729.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
728.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
726.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
724.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
724.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
720.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
720.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
719.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
718.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
714.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
709.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
707.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
707.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
706.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
701.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
701.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
701.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
700.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
696.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
693.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
687.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
683.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
674.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
672.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
670.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
669.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
669.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
668.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
665.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
660.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
659.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
658.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
657.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
655.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
654.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
650.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
649.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
648.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
647.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
647.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
633.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
630.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
630.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
627.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
625.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
625.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
624.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
623.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
622.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
620.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
619.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
617.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
614.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
613.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
613.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
610.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
610.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
609.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
608.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
607.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
599.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
596.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
590.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
590.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
588.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
587.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
586.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
583.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
582.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
581.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
580.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
568.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
567.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
565.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
563.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
561.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
560.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
554.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
552.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
546.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
545.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
535.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
535.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
535.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
531.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
529.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
528.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
520.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
516.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
512.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
509.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
508.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
506.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
504.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
503.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
503.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
501.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
488.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
485.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
464.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
463.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
462.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
450.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
441.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
436.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
434.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
431.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
429.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
428.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
428.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
425.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
415.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
411.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
410.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
400.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
388.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
388.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
382.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
374.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
367.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
361.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
352.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
351.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
330.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EEF1G is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
831.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
3987.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
3675.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
3249.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
3175.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
2726.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2656.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2492.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
2388.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2349.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
2334.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
2280.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
2194.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
2182.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
2138.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
2007.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
2005.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
1989.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
1952.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
1844.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1826.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1786.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1778.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
1717.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1641.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
1611.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
1576.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1571.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1525.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1524.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1512.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1510.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1502.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1478.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1465.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
1420.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1403.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1379.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1360.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1351.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1342.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1319.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
1243.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
1237.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1235.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1230.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1228.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1196.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1184.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1160.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1159.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1134.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1118.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1108.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1107.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
1105.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1098.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1093.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
1089.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1025.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
1016.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1003.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
990.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
982.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
977.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
970.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
968.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
954.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
953.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
953.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
941.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
937.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
915.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
914.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
910.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
907.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
891.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
884.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
881.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
867.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
862.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
857.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
843.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
843.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
838.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
833.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
826.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
823.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
816.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
815.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
815.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
808.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
808.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
803.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
798.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
793.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
785.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
768.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
756.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
752.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
747.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
746.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
738.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
723.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
706.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
703.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
694.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
685.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
677.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
676.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
672.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
670.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
664.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
655.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
653.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
652.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
650.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
650.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
648.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
639.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
627.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
625.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
625.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
622.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
616.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
615.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
605.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
585.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
581.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
570.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
568.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
567.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
566.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
556.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
553.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
552.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
552.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
551.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
544.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
528.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
525.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
525.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
519.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
499.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
484.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
475.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
473.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
473.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
468.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
465.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
459.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
458.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
456.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
454.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
453.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
453.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
451.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
442.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
436.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
432.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
428.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
426.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
423.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
415.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
410.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
407.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
403.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
400.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
400.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
399.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
397.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
391.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
384.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
382.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
379.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
362.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
356.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
355.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
352.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
343.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
340.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
336.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
332.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
329.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
325.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
320.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
319.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
317.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
316.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
315.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
294.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
286.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
284.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
282.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
272.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
263.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
258.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
248.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
248.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
247.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
243.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
243.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
242.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
241.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
240.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
240.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
235.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
233.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
233.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
229.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
223.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
217.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
215.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
215.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
211.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
211.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
211.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
204.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
198.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
197.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
193.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
191.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
186.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
185.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
181.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
175.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
170.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
167.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
166.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
139.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
123.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
111.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
815
Tumor
0.8
443
Tumor
0.7
435
Tumor
0.6
277
Tumor
0.6
813
Tumor
0.6
387
Tumor
0.6
395
Tumor
0.6
171
Tumor
0.5
147
Tumor
0.5
635
Tumor
0.5
557
Tumor
0.5
883
Tumor
0.5
421
Tumor
0.5
257
Tumor
0.5
743
Tumor
0.5
615
Tumor
0.5
1027
Tumor
0.4
271
Tumor
0.4
745
Tumor
0.4
357
Tumor
0.4
573
Tumor
0.4
463
Tumor
0.4
223
Tumor
0.4
465
Tumor
0.4
367
Tumor
0.4
353
Tumor
0.3
627
Tumor
0.3
671
Tumor
0.3
515
Tumor
0.3
533
Tumor
0.3
411
Tumor
0.3
125
Tumor
0.3
537
Tumor
0.3
343
Tumor
0.3
341
Tumor
0.3
127
Tumor
0.3
145
Tumor
0.3
137
Tumor
0.3
313
Tumor
0.3
331
Tumor
0.3
814
Normal
0.3
361
Tumor
0.3
365
Tumor
0.3
135
Tumor
0.3
425
Tumor
0.3
461
Tumor
0.3
285
Tumor
0.3
777
Tumor
0.3
1021
Tumor
0.3
185
Tumor
0.3
217
Tumor
0.2
221
Tumor
0.2
393
Tumor
0.2
527
Tumor
0.2
953
Tumor
0.2
195
Tumor
0.2
161
Tumor
0.2
1043
Tumor
0.2
641
Tumor
0.2
563
Tumor
0.2
467
Tumor
0.2
431
Tumor
0.2
647
Tumor
0.2
661
Tumor
0.2
172
Normal
0.2
213
Tumor
0.2
141
Tumor
0.2
112
Tumor
0.2
455
Tumor
0.2
851
Tumor
0.2
865
Tumor
0.2
113
Tumor
0.2
391
Tumor
0.2
452
Normal
0.2
394
Normal
0.2
186
Normal
0.1
567
Tumor
0.1
571
Tumor
0.1
392
Normal
0.1
423
Tumor
0.1
636
Normal
0.1
368
Normal
0.1
737
Tumor
0.1
191
Tumor
0.1
433
Tumor
0.1
375
Tumor
0.1
923
Tumor
0.1
483
Tumor
0.1
436
Normal
0.1
162
Normal
0.1
297
Tumor
0.1
218
Normal
0.1
873
Tumor
0.1
187
Tumor
0.1
695
Tumor
0.1
663
Tumor
0.1
957
Tumor
0.1
222
Normal
0.1
648
Normal
0.1
447
Tumor
0.1
413
Tumor
0.1
114
Normal
0.1
665
Tumor
0.1
742
Normal
0.1
432
Normal
0.1
385
Tumor
0.1
111
Normal
0.1
286
Normal
0.1
666
Normal
0.1
462
Normal
0.1
148
Normal
0.1
227
Tumor
0.1
327
Tumor
0.1
617
Tumor
0.1
414
Normal
0.1
721
Tumor
0.0
445
Tumor
0.0
136
Normal
0.0
123
Tumor
0.0
188
Normal
0.0
422
Normal
0.0
925
Tumor
0.0
196
Normal
0.0
464
Normal
0.0
267
Tumor
0.0
525
Tumor
0.0
1025
Tumor
0.0
396
Normal
0.0
283
Tumor
0.0
258
Normal
0.0
664
Normal
0.0
1013
Tumor
0.0
376
Normal
0.0
642
Normal
0.0
523
Tumor
0.0
126
Normal
0.0
434
Normal
0.0
342
Normal
0.0
917
Tumor
0.0
1015
Tumor
0.0
975
Tumor
0.0
618
Normal
0.0
937
Tumor
0.0
727
Tumor
0.0
426
Normal
0.0
535
Tumor
0.0
124
Normal
0.0
427
Tumor
0.0
138
Normal
0.0
428
Normal
0.0
128
Normal
0.0
358
Normal
0.0
513
Tumor
0.0
517
Tumor
0.0
214
Normal
0.0
568
Normal
0.0
466
Normal
0.0
388
Normal
0.0
451
Tumor
0.0
386
Normal
0.0
477
Tumor
0.0
867
Tumor
0.0
823
Tumor
0.0
662
Normal
0.0
362
Normal
0.0
628
Normal
0.0
967
Tumor
0.0
741
Tumor
-0.1
697
Tumor
-0.1
564
Normal
-0.1
481
Tumor
-0.1
468
Normal
-0.1
786
Normal
-0.1
877
Tumor
-0.1
912
Normal
-0.1
824
Normal
-0.1
314
Normal
-0.1
744
Normal
-0.1
574
Normal
-0.1
366
Normal
-0.1
298
Normal
-0.1
444
Normal
-0.1
858
Normal
-0.1
424
Normal
-0.1
344
Normal
-0.1
963
Tumor
-0.1
616
Normal
-0.1
446
Normal
-0.1
268
Normal
-0.1
964
Normal
-0.1
863
Tumor
-0.1
132
Normal
-0.1
352
Normal
-0.1
672
Normal
-0.1
332
Normal
-0.1
272
Normal
-0.1
884
Normal
-0.1
913
Tumor
-0.1
456
Normal
-0.1
558
Normal
-0.1
232
Normal
-0.1
738
Normal
-0.1
311
Tumor
-0.1
278
Normal
-0.1
785
Tumor
-0.1
312
Normal
-0.1
572
Normal
-0.1
926
Normal
-0.1
526
Normal
-0.1
1016
Normal
-0.1
497
Tumor
-0.1
966
Normal
-0.1
192
Normal
-0.1
868
Normal
-0.1
356
Normal
-0.1
528
Normal
-0.1
262
Normal
-0.1
284
Normal
-0.1
978
Normal
-0.1
261
Tumor
-0.1
864
Normal
-0.1
1042
Normal
-0.1
723
Tumor
-0.1
817
Tumor
-0.1
862
Normal
-0.2
816
Normal
-0.2
354
Normal
-0.2
1026
Normal
-0.2
914
Normal
-0.2
146
Normal
-0.2
231
Tumor
-0.2
968
Normal
-0.2
924
Normal
-0.2
448
Normal
-0.2
866
Normal
-0.2
384
Normal
-0.2
818
Normal
-0.2
881
Tumor
-0.2
1028
Normal
-0.2
131
Tumor
-0.2
922
Normal
-0.2
351
Tumor
-0.2
1014
Normal
-0.2
713
Tumor
-0.2
958
Normal
-0.2
228
Normal
-0.2
982
Normal
-0.2
1022
Normal
-0.2
918
Normal
-0.2
915
Tumor
-0.2
976
Normal
-0.2
984
Normal
-0.2
981
Tumor
-0.2
724
Normal
-0.2
686
Normal
-0.2
728
Normal
-0.2
471
Tumor
-0.2
518
Normal
-0.2
778
Normal
-0.2
746
Normal
-0.2
977
Tumor
-0.2
685
Tumor
-0.2
493
Tumor
-0.2
921
Tumor
-0.2
878
Normal
-0.2
484
Normal
-0.2
212
Normal
-0.2
1031
Tumor
-0.2
955
Tumor
-0.2
882
Normal
-0.2
852
Normal
-0.2
328
Normal
-0.2
874
Normal
-0.2
1044
Normal
-0.2
383
Tumor
-0.2
142
Normal
-0.2
756
Normal
-0.2
224
Normal
-0.2
488
Normal
-0.2
1046
Normal
-0.3
415
Tumor
-0.3
472
Normal
-0.3
514
Normal
-0.3
1041
Tumor
-0.3
1045
Tumor
-0.3
916
Normal
-0.3
416
Normal
-0.3
983
Tumor
-0.3
714
Normal
-0.3
363
Tumor
-0.3
1032
Normal
-0.3
698
Normal
-0.3
938
Normal
-0.3
755
Tumor
-0.3
474
Normal
-0.3
944
Normal
-0.3
412
Normal
-0.3
554
Normal
-0.3
943
Tumor
-0.3
715
Tumor
-0.3
696
Normal
-0.3
494
Normal
-0.3
857
Tumor
-0.3
954
Normal
-0.3
553
Tumor
-0.3
516
Normal
-0.3
545
Tumor
-0.3
211
Tumor
-0.3
482
Normal
-0.4
492
Normal
-0.4
487
Tumor
-0.4
951
Tumor
-0.4
355
Tumor
-0.4
722
Normal
-0.4
952
Normal
-0.4
965
Tumor
-0.4
364
Normal
-0.4
956
Normal
-0.4
861
Tumor
-0.4
716
Normal
-0.4
538
Normal
-0.4
534
Normal
-0.4
478
Normal
-0.4
498
Normal
-0.4
911
Tumor
-0.4
524
Normal
-0.4
536
Normal
-0.4
491
Tumor
-0.4
546
Normal
-0.6
473
Tumor
-0.8
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
