We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ITIH2 is prognostic, high expression is favorable in liver cancer
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 FPKM
626.9
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
4939.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
3129.6
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
2705.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
2274.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
2060.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
2012.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
1990.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
1967.9
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
1871.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
1851.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
1704.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
1688.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
1649.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
1556.0
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
1498.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
1483.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
1409.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
1400.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
1391.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
1389.9
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
1365.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
1355.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
1328.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
1286.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
1269.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
1233.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
1211.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
1205.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
1204.9
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
1204.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
1142.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
1137.9
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
1130.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
1130.5
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
1101.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
1092.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
1085.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
1082.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
1079.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
1074.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
1067.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
1064.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
1061.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
1056.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
1054.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
1039.2
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
1028.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
1026.2
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
1020.4
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
1012.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
1007.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
993.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
989.8
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
974.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
974.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
973.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
962.6
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
951.0
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
931.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
931.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
929.2
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
928.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
926.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
921.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
918.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
908.7
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
908.1
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
907.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
905.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
895.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
891.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
888.5
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
887.9
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
886.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
882.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
879.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
875.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
858.5
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
857.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
848.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
837.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
834.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
830.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
828.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
822.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
818.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
816.6
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
815.3
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
811.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
810.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
801.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
800.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
796.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
788.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
783.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
781.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
781.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
777.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
775.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
766.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
765.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
764.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
764.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
760.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
757.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
756.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
756.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
756.0
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
753.7
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
750.7
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
746.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
741.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
739.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
736.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
733.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
726.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
725.4
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
725.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
717.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
716.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
715.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
712.8
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
708.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
702.1
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
690.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
687.2
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
685.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
682.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
682.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
679.6
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
679.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
674.9
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
671.3
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
666.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
657.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
655.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
651.3
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
649.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
640.8
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
640.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
639.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
638.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
637.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
636.5
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
632.4
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
631.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
619.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
619.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
615.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
615.4
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
614.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
613.6
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
607.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
606.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
605.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
602.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
597.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
596.3
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
596.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
590.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
588.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
586.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
582.5
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
582.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
578.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
576.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
574.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
571.9
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
569.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
562.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
556.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
554.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
553.8
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
551.3
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
548.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
547.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
545.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
544.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
543.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
542.5
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
539.5
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
538.9
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
537.1
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
536.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
535.9
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
535.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
532.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
530.1
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
529.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
525.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
524.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
524.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
518.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
511.6
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
511.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
510.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
509.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
509.2
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
506.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
503.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
501.6
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
500.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
499.6
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
496.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
493.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
493.8
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
492.4
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
488.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
481.6
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
480.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
476.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
474.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
473.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
472.0
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
470.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
465.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
465.1
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
463.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
459.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
459.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
458.2
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
456.7
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
456.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
455.3
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
453.3
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
448.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
447.3
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
444.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
439.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
435.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
432.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
429.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
427.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
427.3
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
421.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
419.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
418.5
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
417.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
407.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
405.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
399.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
396.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
395.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
389.7
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
385.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
384.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
379.3
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
375.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
375.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
375.0
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
372.4
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
370.2
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
370.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
369.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
366.9
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
366.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
365.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
361.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
358.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
358.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
349.2
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
347.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
338.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
338.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
335.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
331.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
330.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
329.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
327.0
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
324.7
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
323.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
323.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
322.2
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
322.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
321.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
321.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
320.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
320.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
320.5
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
320.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
316.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
315.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
314.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
313.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
313.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
313.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
312.0
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
311.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
310.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
310.3
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
308.2
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
306.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
304.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
304.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
302.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
300.2
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
299.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
293.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
293.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
290.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
288.8
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
275.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
274.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
272.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
271.3
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
265.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
264.6
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
260.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
258.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
258.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
255.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
252.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
246.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
235.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
234.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
234.1
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
230.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
229.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
227.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
210.5
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
200.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
198.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
198.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
196.9
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
195.9
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
195.5
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
185.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
182.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
177.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
176.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
173.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
171.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
169.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
168.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
166.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
163.1
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
158.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
151.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
150.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
145.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
130.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
127.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
113.7
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
101.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
96.7
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
94.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
90.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
83.9
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
79.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
72.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
69.5
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
69.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
68.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
57.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
57.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
50.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
34.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
27.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
18.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
12.6
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
10.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
8.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
0.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
0.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
0.2
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
