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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.
SELENOP 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
1187.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
6584.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
5626.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
5586.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4924.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4287.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4029.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3781.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3715.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3619.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3495.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3486.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3289.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3160.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3089.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2970.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2949.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2880.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2861.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2857.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2846.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2841.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2801.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2789.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2708.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2701.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2551.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2519.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2501.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
2499.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2436.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2419.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2355.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2342.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2317.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2276.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2261.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2250.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2248.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2242.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2219.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2211.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2200.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2185.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2184.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2181.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2173.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2173.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2166.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2166.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2155.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2148.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2105.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2078.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2035.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2033.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2024.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1949.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1942.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1938.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1920.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1895.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1879.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1870.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1845.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1818.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1812.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1810.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1800.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1775.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1759.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1723.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1719.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1719.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1689.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1681.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1646.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1643.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1637.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1633.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1628.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1607.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1605.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1603.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1596.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1591.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1582.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1577.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1549.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1547.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1542.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1538.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1527.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1516.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1509.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1504.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1497.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1487.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1484.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1480.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1480.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1479.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1471.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1423.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1422.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1405.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1404.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1399.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1399.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1393.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1383.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1377.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1367.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1366.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1361.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1341.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1333.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1328.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1317.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1316.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1295.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1288.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1284.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1277.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1271.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1269.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1258.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1244.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1244.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1239.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1236.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1235.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1234.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1230.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1220.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1217.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1212.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1208.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1207.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1204.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1183.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1170.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1168.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1168.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1167.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1167.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1166.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1158.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1151.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1128.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1127.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1125.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1118.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1114.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1113.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1105.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1099.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1095.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1093.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1092.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1091.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1091.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1091.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1084.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1081.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1075.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1072.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1062.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1061.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1056.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1037.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1030.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1027.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1027.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1026.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1025.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1022.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1017.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1013.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1009.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1004.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1003.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1003.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1000.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
989.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
983.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
980.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
972.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
972.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
954.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
952.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
948.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
947.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
941.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
941.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
940.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
936.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
930.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
922.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
922.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
915.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
911.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
908.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
906.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
906.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
899.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
893.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
877.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
874.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
870.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
869.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
863.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
859.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
859.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
858.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
851.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
847.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
833.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
831.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
828.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
821.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
816.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
814.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
809.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
800.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
785.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
771.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
771.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
767.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
767.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
766.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
757.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
752.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
750.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
747.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
741.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
738.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
735.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
730.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
728.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
727.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
721.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
714.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
714.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
712.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
708.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
707.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
705.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
703.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
701.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
688.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
681.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
680.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
671.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
663.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
654.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
643.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
633.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
630.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
625.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
615.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
606.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
601.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
599.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
596.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
589.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
588.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
588.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
585.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
566.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
554.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
537.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
534.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
534.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
534.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
530.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
529.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
527.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
526.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
521.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
513.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
513.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
510.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
510.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
503.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
498.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
496.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
490.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
485.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
485.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
475.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
473.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
468.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
465.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
455.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
449.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
446.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
444.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
437.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
436.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
431.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
421.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
412.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
403.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
392.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
390.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
380.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
379.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
378.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
371.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
363.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
362.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
358.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
355.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
353.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
340.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
335.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
335.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
330.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
321.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
316.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
315.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
314.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
302.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
298.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
286.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
280.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
266.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
251.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
244.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
242.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
240.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
233.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
227.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
221.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
217.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
201.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
199.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
198.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
197.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
195.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
182.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
180.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
174.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
173.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
168.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
152.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
137.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
136.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
133.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
129.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
123.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
110.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
78.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
77.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
73.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
71.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
70.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
63.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
62.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
49.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
42.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 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.
Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
665
Tumor
1.2
425
Tumor
1.2
877
Tumor
1.0
636
Normal
1.0
192
Normal
1.0
671
Tumor
1.0
343
Tumor
1.0
666
Normal
0.9
375
Tumor
0.9
125
Tumor
0.8
743
Tumor
0.8
354
Normal
0.8
618
Normal
0.7
568
Normal
0.7
635
Tumor
0.7
516
Normal
0.7
742
Normal
0.7
924
Normal
0.7
224
Normal
0.7
715
Tumor
0.7
564
Normal
0.6
393
Tumor
0.6
953
Tumor
0.6
1045
Tumor
0.6
815
Tumor
0.6
444
Normal
0.6
628
Normal
0.6
648
Normal
0.6
484
Normal
0.6
785
Tumor
0.5
672
Normal
0.5
396
Normal
0.5
574
Normal
0.5
697
Tumor
0.5
786
Normal
0.5
914
Normal
0.5
627
Tumor
0.5
222
Normal
0.5
563
Tumor
0.5
662
Normal
0.5
432
Normal
0.5
616
Normal
0.5
394
Normal
0.4
975
Tumor
0.4
723
Tumor
0.4
741
Tumor
0.4
922
Normal
0.4
128
Normal
0.4
857
Tumor
0.4
615
Tumor
0.4
911
Tumor
0.4
342
Normal
0.4
567
Tumor
0.4
818
Normal
0.4
328
Normal
0.4
517
Tumor
0.4
278
Normal
0.4
862
Normal
0.4
716
Normal
0.4
938
Normal
0.4
466
Normal
0.4
744
Normal
0.4
954
Normal
0.4
297
Tumor
0.4
221
Tumor
0.3
358
Normal
0.3
188
Normal
0.3
722
Normal
0.3
1042
Normal
0.3
546
Normal
0.3
746
Normal
0.3
518
Normal
0.3
483
Tumor
0.3
162
Normal
0.3
114
Normal
0.3
472
Normal
0.3
388
Normal
0.3
713
Tumor
0.3
126
Normal
0.3
362
Normal
0.3
258
Normal
0.3
813
Tumor
0.3
824
Normal
0.3
366
Normal
0.3
298
Normal
0.3
462
Normal
0.3
196
Normal
0.3
228
Normal
0.3
918
Normal
0.3
921
Tumor
0.3
492
Normal
0.3
195
Tumor
0.3
468
Normal
0.3
111
Normal
0.3
515
Tumor
0.3
138
Normal
0.3
124
Normal
0.3
146
Normal
0.3
172
Normal
0.3
436
Normal
0.3
461
Tumor
0.3
341
Tumor
0.3
214
Normal
0.3
858
Normal
0.3
474
Normal
0.3
456
Normal
0.3
1022
Normal
0.3
365
Tumor
0.3
866
Normal
0.2
714
Normal
0.2
817
Tumor
0.2
132
Normal
0.2
391
Tumor
0.2
376
Normal
0.2
868
Normal
0.2
816
Normal
0.2
756
Normal
0.2
572
Normal
0.2
534
Normal
0.2
881
Tumor
0.2
981
Tumor
0.2
958
Normal
0.2
161
Tumor
0.2
127
Tumor
0.2
186
Normal
0.2
1044
Normal
0.2
112
Tumor
0.2
314
Normal
0.2
268
Normal
0.2
356
Normal
0.2
136
Normal
0.2
1041
Tumor
0.2
558
Normal
0.2
426
Normal
0.2
686
Normal
0.2
696
Normal
0.2
218
Normal
0.2
944
Normal
0.2
217
Tumor
0.2
395
Tumor
0.2
232
Normal
0.2
352
Normal
0.2
353
Tumor
0.2
926
Normal
0.2
852
Normal
0.2
223
Tumor
0.2
956
Normal
0.1
464
Normal
0.1
187
Tumor
0.1
471
Tumor
0.1
641
Tumor
0.1
148
Normal
0.1
647
Tumor
0.1
312
Normal
0.1
1028
Normal
0.1
863
Tumor
0.1
545
Tumor
0.1
414
Normal
0.1
882
Normal
0.1
386
Normal
0.1
384
Normal
0.1
617
Tumor
0.1
1046
Normal
0.1
915
Tumor
0.1
327
Tumor
0.1
478
Normal
0.1
874
Normal
0.1
428
Normal
0.1
698
Normal
0.1
664
Normal
0.1
728
Normal
0.1
191
Tumor
0.1
538
Normal
0.1
778
Normal
0.1
1032
Normal
0.1
145
Tumor
0.1
227
Tumor
0.1
642
Normal
0.1
916
Normal
0.1
864
Normal
0.1
465
Tumor
0.1
272
Normal
0.1
491
Tumor
0.1
261
Tumor
0.1
286
Normal
0.1
695
Tumor
0.1
738
Normal
0.1
113
Tumor
0.1
573
Tumor
0.1
267
Tumor
0.0
142
Normal
0.0
368
Normal
0.0
185
Tumor
0.0
171
Tumor
0.0
412
Normal
0.0
526
Normal
0.0
937
Tumor
0.0
823
Tumor
0.0
923
Tumor
0.0
976
Normal
0.0
481
Tumor
0.0
514
Normal
0.0
967
Tumor
0.0
392
Normal
0.0
344
Normal
0.0
431
Tumor
0.0
284
Normal
0.0
957
Tumor
0.0
262
Normal
0.0
878
Normal
0.0
364
Normal
0.0
313
Tumor
0.0
446
Normal
0.0
137
Tumor
0.0
361
Tumor
0.0
455
Tumor
0.0
982
Normal
0.0
966
Normal
0.0
482
Normal
-0.1
435
Tumor
-0.1
1026
Normal
-0.1
424
Normal
-0.1
884
Normal
-0.1
943
Tumor
-0.1
467
Tumor
-0.1
1043
Tumor
-0.1
553
Tumor
-0.1
277
Tumor
-0.1
554
Normal
-0.1
524
Normal
-0.1
721
Tumor
-0.1
1016
Normal
-0.1
135
Tumor
-0.1
917
Tumor
-0.1
814
Normal
-0.1
498
Normal
-0.1
331
Tumor
-0.1
525
Tumor
-0.1
913
Tumor
-0.1
257
Tumor
-0.2
416
Normal
-0.2
448
Normal
-0.2
1014
Normal
-0.2
777
Tumor
-0.2
213
Tumor
-0.2
755
Tumor
-0.2
363
Tumor
-0.2
523
Tumor
-0.2
452
Normal
-0.2
141
Tumor
-0.2
968
Normal
-0.2
1025
Tumor
-0.2
867
Tumor
-0.2
883
Tumor
-0.2
494
Normal
-0.2
851
Tumor
-0.2
983
Tumor
-0.2
477
Tumor
-0.2
131
Tumor
-0.2
421
Tumor
-0.2
1031
Tumor
-0.2
685
Tumor
-0.2
912
Normal
-0.2
1015
Tumor
-0.2
963
Tumor
-0.2
422
Normal
-0.2
533
Tumor
-0.3
367
Tumor
-0.3
212
Normal
-0.3
745
Tumor
-0.3
955
Tumor
-0.3
147
Tumor
-0.3
332
Normal
-0.3
271
Tumor
-0.3
285
Tumor
-0.3
427
Tumor
-0.3
413
Tumor
-0.3
861
Tumor
-0.3
434
Normal
-0.3
536
Normal
-0.3
737
Tumor
-0.3
415
Tumor
-0.3
447
Tumor
-0.3
528
Normal
-0.3
311
Tumor
-0.3
925
Tumor
-0.3
571
Tumor
-0.3
984
Normal
-0.3
443
Tumor
-0.4
964
Normal
-0.4
727
Tumor
-0.4
663
Tumor
-0.4
952
Normal
-0.4
493
Tumor
-0.4
977
Tumor
-0.4
423
Tumor
-0.4
497
Tumor
-0.4
123
Tumor
-0.4
978
Normal
-0.4
965
Tumor
-0.4
355
Tumor
-0.4
488
Normal
-0.5
451
Tumor
-0.5
445
Tumor
-0.5
383
Tumor
-0.5
473
Tumor
-0.5
557
Tumor
-0.5
873
Tumor
-0.5
487
Tumor
-0.5
463
Tumor
-0.5
513
Tumor
-0.5
283
Tumor
-0.5
535
Tumor
-0.6
387
Tumor
-0.6
411
Tumor
-0.6
231
Tumor
-0.6
661
Tumor
-0.6
1013
Tumor
-0.6
351
Tumor
-0.6
1021
Tumor
-0.7
385
Tumor
-0.7
537
Tumor
-0.7
724
Normal
-0.7
433
Tumor
-0.7
1027
Tumor
-0.7
357
Tumor
-0.7
951
Tumor
-0.8
527
Tumor
-0.8
865
Tumor
-0.8
211
Tumor
-1.2
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
