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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 TPM
850.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4796.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3090.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3001.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2673.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2550.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2459.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2339.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2303.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2230.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2041.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1957.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1913.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1905.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1885.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1730.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1698.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1664.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1645.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1628.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1613.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1610.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1572.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1519.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1516.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1513.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1460.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1458.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1452.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1445.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1436.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1431.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1422.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1410.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1407.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1406.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1395.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1392.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1378.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1361.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1358.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1353.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1339.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1329.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1328.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1315.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1311.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1307.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1305.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1280.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1271.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1267.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1261.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1249.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1225.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1213.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1210.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1205.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1193.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1188.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1183.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1180.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1180.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1175.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1174.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1154.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1153.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1152.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1149.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1146.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1142.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1138.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1130.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1127.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1116.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1108.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1090.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1088.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1068.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1066.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1058.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1050.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1037.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1036.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1032.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1015.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1010.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1009.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1005.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1004.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
994.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
985.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
983.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
978.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
973.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
971.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
969.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
962.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
957.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
943.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
943.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
934.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
928.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
928.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
926.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
918.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
914.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
913.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
913.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
912.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
908.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
907.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
903.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
902.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
899.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
898.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
897.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
892.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
892.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
885.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
884.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
884.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
878.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
877.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
872.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
869.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
869.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
866.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
862.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
862.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
861.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
859.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
858.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
857.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
854.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
850.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
842.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
841.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
834.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
831.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
828.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
826.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
815.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
814.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
809.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
806.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
803.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
799.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
798.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
798.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
797.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
795.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
795.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
794.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
794.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
790.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
788.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
788.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
786.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
785.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
785.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
784.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
774.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
773.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
772.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
771.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
770.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
760.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
758.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
757.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
746.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
746.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
739.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
737.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
737.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
737.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
734.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
733.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
727.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
727.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
727.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
727.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
721.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
717.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
717.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
715.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
711.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
710.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
708.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
703.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
699.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
696.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
695.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
695.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
695.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
693.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
690.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
689.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
688.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
688.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
686.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
685.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
682.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
682.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
676.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
676.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
675.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
667.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
665.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
665.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
665.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
665.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
663.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
662.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
660.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
659.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
659.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
658.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
655.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
654.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
652.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
650.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
648.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
647.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
646.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
644.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
644.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
641.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
640.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
639.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
637.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
636.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
632.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
631.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
631.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
625.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
624.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
623.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
623.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
622.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
622.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
621.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
621.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
619.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
615.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
611.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
610.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
609.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
606.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
606.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
599.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
599.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
596.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
596.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
594.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
592.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
591.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
590.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
590.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
589.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
588.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
586.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
585.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
584.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
577.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
576.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
566.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
565.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
562.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
559.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
557.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
557.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
555.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
555.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
553.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
552.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
551.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
551.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
547.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
545.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
543.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
541.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
539.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
536.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
535.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
534.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
533.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
533.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
529.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
529.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
525.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
519.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
517.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
516.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
515.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
514.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
513.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
510.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
508.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
506.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
506.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
505.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
502.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
501.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
500.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
500.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
499.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
498.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
497.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
490.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
490.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
489.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
486.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
485.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
482.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
473.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
471.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
470.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
466.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
466.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
457.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
457.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
449.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
449.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
449.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
446.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
445.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
443.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
438.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
437.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
436.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
434.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
431.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
430.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
429.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
425.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
419.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
413.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
408.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
401.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
383.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
382.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
382.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
379.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
377.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
372.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
365.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
363.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
362.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
362.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
358.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
353.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
343.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
341.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
334.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
328.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
327.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
319.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
294.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
287.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
286.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
284.7
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 TPM
490.4
Number of samples
231
Samples
Sample
Description
TPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
2520.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
2355.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
1987.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
1774.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1673.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1538.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1438.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1437.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
1398.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1395.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
1378.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1357.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
1316.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
1265.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
1237.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
1192.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1173.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1151.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1037.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
1027.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
997.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
993.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
986.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
955.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
954.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
931.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
901.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
896.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
895.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
894.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
873.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
861.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
847.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
796.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
793.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
781.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
775.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
767.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
765.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
757.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
755.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
741.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
717.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
708.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
704.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
702.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
700.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
686.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
676.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
651.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
648.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
640.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
638.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
638.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
635.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
632.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
628.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
605.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
604.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
600.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
586.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
585.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
578.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
576.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
575.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
574.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
573.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
572.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
561.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
559.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
554.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
553.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
548.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
546.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
544.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
539.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
538.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
538.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
534.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
533.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
526.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
526.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
524.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
523.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
517.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
500.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
488.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
488.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
466.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
464.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
463.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
462.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
462.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
458.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
458.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
453.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
453.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
450.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
449.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
446.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
444.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
441.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
440.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
438.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
437.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
436.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
422.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
421.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
416.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
415.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
401.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
400.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
390.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
390.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
387.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
387.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
384.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
384.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
381.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
376.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
373.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
359.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
358.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
358.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
351.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
347.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
343.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
341.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
339.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
339.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
338.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
336.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
335.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
335.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
333.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
327.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
321.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
320.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
320.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
319.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
315.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
312.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
305.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
299.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
294.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
293.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
275.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
274.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
265.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
263.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
262.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
261.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
260.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
255.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
255.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
255.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
254.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
250.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
249.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
246.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
245.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
244.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
243.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
242.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
237.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
234.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
230.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
230.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
229.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
225.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
223.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
220.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
219.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
218.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
215.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
212.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
210.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
205.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
200.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
199.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
196.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
194.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
194.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
193.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
190.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
188.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
186.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
184.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
183.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
183.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
177.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
177.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
175.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
173.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
159.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
154.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
152.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
148.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
148.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
147.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
145.1
DO23552
80 years, female, NA, stage:1, alive, 810 days
144.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
144.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
143.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
140.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
140.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
139.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
138.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
137.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
132.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
130.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
128.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
126.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
125.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
124.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
124.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
124.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
123.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
120.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
115.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
112.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
109.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
104.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
102.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
101.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
98.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
92.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
88.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
83.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
71.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
70.0
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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
