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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.
HMGCS2 is potential prognostic, high expression is favorable 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
667.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2894.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2719.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2695.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2687.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2499.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2398.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2326.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2241.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2082.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2013.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1967.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1958.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1933.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1925.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1924.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1851.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1815.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1758.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1749.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1716.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1654.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1644.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1584.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1584.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1581.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1558.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1557.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1529.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1507.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1487.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1472.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1453.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1442.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1397.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1385.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1380.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1380.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1378.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1374.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1359.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1349.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1314.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1314.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1310.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1291.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1229.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1188.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1181.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1140.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1133.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1126.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1119.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1108.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1107.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1099.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1097.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1094.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1089.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1089.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1089.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1083.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1065.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1054.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1038.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1031.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1031.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1029.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1028.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1026.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1021.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1021.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1020.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1013.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1006.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1002.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1002.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
996.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
992.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
986.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
984.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
982.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
971.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
971.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
949.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
948.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
948.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
941.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
919.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
917.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
917.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
908.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
894.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
891.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
885.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
883.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
870.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
863.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
863.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
858.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
852.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
852.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
836.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
836.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
831.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
829.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
819.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
819.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
815.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
807.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
801.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
798.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
792.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
783.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
781.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
777.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
776.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
772.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
772.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
770.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
760.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
752.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
750.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
746.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
736.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
729.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
727.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
724.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
718.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
718.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
715.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
715.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
709.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
708.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
708.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
707.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
703.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
702.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
702.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
699.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
692.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
692.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
690.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
685.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
684.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
680.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
678.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
673.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
672.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
667.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
666.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
663.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
662.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
660.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
659.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
653.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
643.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
640.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
635.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
634.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
633.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
625.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
622.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
620.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
617.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
614.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
612.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
607.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
597.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
579.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
578.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
577.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
575.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
573.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
569.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
564.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
562.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
562.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
560.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
559.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
551.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
551.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
549.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
549.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
540.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
532.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
528.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
527.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
520.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
519.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
517.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
515.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
514.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
514.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
509.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
508.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
505.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
504.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
500.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
493.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
489.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
488.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
485.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
482.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
477.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
477.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
473.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
459.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
451.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
450.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
449.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
448.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
447.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
446.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
441.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
440.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
439.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
436.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
433.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
432.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
432.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
425.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
425.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
425.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
424.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
415.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
413.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
409.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
405.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
405.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
400.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
399.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
399.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
398.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
393.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
393.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
386.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
386.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
385.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
381.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
379.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
379.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
377.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
374.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
369.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
368.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
368.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
360.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
360.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
353.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
353.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
350.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
348.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
342.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
342.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
339.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
336.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
331.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
326.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
320.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
317.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
314.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
314.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
311.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
302.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
300.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
298.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
296.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
286.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
284.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
283.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
280.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
275.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
268.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
264.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
263.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
263.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
262.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
261.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
260.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
256.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
254.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
253.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
250.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
249.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
249.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
245.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
244.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
244.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
242.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
240.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
237.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
233.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
230.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
228.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
223.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
223.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
217.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
216.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
216.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
213.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
212.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
208.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
206.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
199.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
196.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
195.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
188.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
187.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
184.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
183.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
183.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
180.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
178.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
178.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
173.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
168.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
158.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
155.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
148.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
148.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
145.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
132.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
132.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
130.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
124.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
120.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
118.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
112.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
110.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
110.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
96.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
94.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
90.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
85.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
76.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
75.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
66.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
64.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
63.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
58.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
55.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
51.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
51.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
46.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
43.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
41.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
41.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
34.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
31.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
22.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
14.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
10.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
9.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
8.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
7.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
0.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
0.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
0.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
0.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
HMGCS2 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
816.8
Number of samples
231
Samples
Sample
Description
pTPM
DO45237
58 years, male, NA, stage:2, alive, 900 days
3975.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3174.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3034.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2624.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2454.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2395.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
2347.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2135.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2032.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1895.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
1892.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1830.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1828.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
1826.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
1821.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
1796.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
1736.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
1732.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
1729.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
1678.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1657.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
1643.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
1629.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1625.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1616.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1614.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1548.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1537.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
1529.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1516.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
1467.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
1463.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1453.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1437.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
1433.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1430.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
1397.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1389.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
1381.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1365.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
1325.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
1312.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1307.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1274.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
1273.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1258.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
1256.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1250.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
1246.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1238.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1236.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1236.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
1227.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
1217.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
1214.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
1205.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1191.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1183.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1181.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
1168.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
1160.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1146.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
1138.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1123.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
1097.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1057.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
1052.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
1044.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
1043.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1028.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1003.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
1000.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
996.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
992.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
990.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
987.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
960.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
920.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
907.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
903.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
897.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
890.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
890.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
890.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
886.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
883.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
881.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
878.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
877.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
866.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
855.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
854.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
847.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
846.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
843.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
838.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
826.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
826.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
822.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
821.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
820.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
815.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
813.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
812.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
812.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
805.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
799.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
792.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
786.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
763.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
758.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
758.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
758.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
758.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
752.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
748.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
718.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
700.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
700.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
693.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
682.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
665.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
664.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
657.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
650.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
642.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
640.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
635.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
634.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
631.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
627.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
624.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
602.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
598.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
597.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
589.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
589.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
582.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
581.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
578.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
575.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
574.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
569.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
568.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
557.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
550.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
545.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
539.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
535.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
535.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
532.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
532.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
530.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
525.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
499.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
492.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
489.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
479.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
474.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
468.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
458.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
444.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
440.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
436.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
429.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
425.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
421.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
411.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
390.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
386.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
376.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
376.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
371.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
371.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
363.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
353.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
349.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
335.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
334.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
330.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
322.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
317.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
310.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
299.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
280.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
273.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
273.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
271.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
267.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
252.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
246.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
236.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
200.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
194.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
186.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
185.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
172.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
171.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
164.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
155.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
152.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
123.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
113.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
98.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
97.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
66.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
54.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
48.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
38.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
32.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
30.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
25.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
23.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
23.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
18.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
16.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
12.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
9.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
5.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
4.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
4.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
3.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
2.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
0.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
0.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
571
Tumor
1.3
1043
Tumor
1.2
465
Tumor
1.0
332
Normal
0.9
436
Normal
0.8
695
Tumor
0.8
393
Tumor
0.8
186
Normal
0.8
443
Tumor
0.7
162
Normal
0.7
446
Normal
0.7
698
Normal
0.7
742
Normal
0.7
196
Normal
0.7
128
Normal
0.7
818
Normal
0.7
488
Normal
0.7
222
Normal
0.7
342
Normal
0.7
938
Normal
0.7
428
Normal
0.7
882
Normal
0.7
636
Normal
0.7
615
Tumor
0.7
411
Tumor
0.7
858
Normal
0.6
568
Normal
0.6
745
Tumor
0.6
452
Normal
0.6
376
Normal
0.6
394
Normal
0.6
862
Normal
0.6
824
Normal
0.6
618
Normal
0.6
666
Normal
0.6
462
Normal
0.6
132
Normal
0.6
982
Normal
0.6
1046
Normal
0.6
924
Normal
0.6
172
Normal
0.6
298
Normal
0.6
412
Normal
0.6
534
Normal
0.5
912
Normal
0.5
1032
Normal
0.5
358
Normal
0.5
314
Normal
0.5
472
Normal
0.5
414
Normal
0.5
746
Normal
0.5
964
Normal
0.5
922
Normal
0.5
484
Normal
0.5
356
Normal
0.5
756
Normal
0.5
464
Normal
0.5
426
Normal
0.5
424
Normal
0.5
786
Normal
0.4
487
Tumor
0.4
423
Tumor
0.4
984
Normal
0.4
921
Tumor
0.4
258
Normal
0.4
278
Normal
0.4
1016
Normal
0.4
1014
Normal
0.4
365
Tumor
0.4
286
Normal
0.4
546
Normal
0.4
628
Normal
0.4
127
Tumor
0.4
564
Normal
0.4
648
Normal
0.4
111
Normal
0.4
744
Normal
0.4
432
Normal
0.4
344
Normal
0.4
868
Normal
0.4
866
Normal
0.4
738
Normal
0.4
466
Normal
0.4
388
Normal
0.3
1026
Normal
0.3
482
Normal
0.3
864
Normal
0.3
572
Normal
0.3
396
Normal
0.3
136
Normal
0.3
148
Normal
0.3
341
Tumor
0.3
664
Normal
0.3
716
Normal
0.3
422
Normal
0.3
232
Normal
0.3
714
Normal
0.3
1027
Tumor
0.3
147
Tumor
0.3
142
Normal
0.3
354
Normal
0.3
221
Tumor
0.3
231
Tumor
0.3
352
Normal
0.3
914
Normal
0.3
816
Normal
0.3
146
Normal
0.3
518
Normal
0.3
328
Normal
0.3
926
Normal
0.3
368
Normal
0.3
955
Tumor
0.3
686
Normal
0.3
214
Normal
0.3
616
Normal
0.3
435
Tumor
0.2
878
Normal
0.2
124
Normal
0.2
944
Normal
0.2
364
Normal
0.2
1022
Normal
0.2
513
Tumor
0.2
528
Normal
0.2
778
Normal
0.2
723
Tumor
0.2
218
Normal
0.2
114
Normal
0.2
918
Normal
0.2
526
Normal
0.2
873
Tumor
0.2
456
Normal
0.2
722
Normal
0.2
957
Tumor
0.2
366
Normal
0.2
672
Normal
0.2
448
Normal
0.2
138
Normal
0.2
112
Tumor
0.2
884
Normal
0.2
727
Tumor
0.2
392
Normal
0.2
976
Normal
0.2
1044
Normal
0.1
642
Normal
0.1
171
Tumor
0.1
494
Normal
0.1
553
Tumor
0.1
468
Normal
0.1
262
Normal
0.1
126
Normal
0.1
713
Tumor
0.1
978
Normal
0.1
1042
Normal
0.1
968
Normal
0.1
514
Normal
0.1
874
Normal
0.1
958
Normal
0.1
696
Normal
0.1
425
Tumor
0.1
627
Tumor
0.1
327
Tumor
0.1
481
Tumor
0.0
952
Normal
0.0
1031
Tumor
0.0
477
Tumor
0.0
271
Tumor
0.0
362
Normal
0.0
554
Normal
0.0
662
Normal
0.0
728
Normal
0.0
966
Normal
0.0
145
Tumor
0.0
474
Normal
0.0
416
Normal
0.0
755
Tumor
-0.1
954
Normal
-0.1
272
Normal
-0.1
161
Tumor
-0.1
312
Normal
-0.1
361
Tumor
-0.1
574
Normal
-0.1
558
Normal
-0.1
228
Normal
-0.1
956
Normal
-0.1
212
Normal
-0.1
516
Normal
-0.1
852
Normal
-0.1
386
Normal
-0.1
647
Tumor
-0.1
883
Tumor
-0.1
563
Tumor
-0.2
1028
Normal
-0.2
191
Tumor
-0.2
538
Normal
-0.2
641
Tumor
-0.2
515
Tumor
-0.2
434
Normal
-0.2
123
Tumor
-0.2
415
Tumor
-0.2
195
Tumor
-0.3
1045
Tumor
-0.3
421
Tumor
-0.3
137
Tumor
-0.3
224
Normal
-0.3
284
Normal
-0.3
777
Tumor
-0.3
384
Normal
-0.3
192
Normal
-0.3
187
Tumor
-0.3
963
Tumor
-0.4
617
Tumor
-0.4
261
Tumor
-0.4
267
Tumor
-0.4
916
Normal
-0.4
925
Tumor
-0.4
721
Tumor
-0.4
357
Tumor
-0.4
188
Normal
-0.4
471
Tumor
-0.4
857
Tumor
-0.4
463
Tumor
-0.5
478
Normal
-0.5
1025
Tumor
-0.5
461
Tumor
-0.5
217
Tumor
-0.5
353
Tumor
-0.5
498
Normal
-0.5
851
Tumor
-0.5
863
Tumor
-0.6
663
Tumor
-0.6
444
Normal
-0.6
813
Tumor
-0.6
223
Tumor
-0.6
915
Tumor
-0.6
923
Tumor
-0.6
268
Normal
-0.6
227
Tumor
-0.6
937
Tumor
-0.6
383
Tumor
-0.6
433
Tumor
-0.6
185
Tumor
-0.6
313
Tumor
-0.6
524
Normal
-0.6
967
Tumor
-0.6
536
Normal
-0.6
537
Tumor
-0.6
483
Tumor
-0.7
865
Tumor
-0.7
741
Tumor
-0.7
363
Tumor
-0.7
517
Tumor
-0.7
257
Tumor
-0.7
635
Tumor
-0.7
391
Tumor
-0.7
431
Tumor
-0.7
785
Tumor
-0.7
817
Tumor
-0.7
697
Tumor
-0.7
975
Tumor
-0.7
113
Tumor
-0.8
492
Normal
-0.8
141
Tumor
-0.8
737
Tumor
-0.8
355
Tumor
-0.8
867
Tumor
-0.9
445
Tumor
-0.9
573
Tumor
-0.9
427
Tumor
-0.9
297
Tumor
-0.9
413
Tumor
-0.9
387
Tumor
-1.0
823
Tumor
-1.0
953
Tumor
-1.0
1013
Tumor
-1.0
943
Tumor
-1.0
493
Tumor
-1.0
814
Normal
-1.0
913
Tumor
-1.0
367
Tumor
-1.1
715
Tumor
-1.1
497
Tumor
-1.1
535
Tumor
-1.1
277
Tumor
-1.1
131
Tumor
-1.1
467
Tumor
-1.2
523
Tumor
-1.2
135
Tumor
-1.2
125
Tumor
-1.2
567
Tumor
-1.2
1021
Tumor
-1.3
981
Tumor
-1.3
527
Tumor
-1.3
977
Tumor
-1.3
724
Normal
-1.3
533
Tumor
-1.3
455
Tumor
-1.4
1041
Tumor
-1.4
951
Tumor
-1.4
877
Tumor
-1.4
451
Tumor
-1.4
917
Tumor
-1.4
343
Tumor
-1.4
447
Tumor
-1.5
1015
Tumor
-1.5
743
Tumor
-1.5
525
Tumor
-1.5
881
Tumor
-1.5
665
Tumor
-1.5
395
Tumor
-1.6
557
Tumor
-1.6
473
Tumor
-1.6
965
Tumor
-1.6
685
Tumor
-1.6
213
Tumor
-1.6
911
Tumor
-1.7
491
Tumor
-1.7
983
Tumor
-1.7
311
Tumor
-1.7
545
Tumor
-1.7
861
Tumor
-1.9
331
Tumor
-1.9
815
Tumor
-1.9
375
Tumor
-1.9
351
Tumor
-2.0
671
Tumor
-2.0
385
Tumor
-2.2
283
Tumor
-2.3
285
Tumor
-2.4
661
Tumor
-2.5
211
Tumor
-2.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.