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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.
HRG is validated 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 TPM
1162.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
8056.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
6205.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
6016.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5915.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5726.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
5723.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
5594.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
5246.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
5096.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
5079.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4853.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4714.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4397.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4353.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4277.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4269.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4160.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3882.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3808.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3534.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
3508.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
3439.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
3303.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3252.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
3232.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3218.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
3146.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3009.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2983.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2970.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2953.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2918.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2883.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2862.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2745.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2677.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2649.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2581.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2572.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2538.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2529.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2512.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2471.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2470.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2455.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2447.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2425.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2386.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2377.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2375.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2278.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2267.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2246.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2227.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2191.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2182.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2141.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2138.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2118.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2114.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
2111.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2108.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2088.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
2064.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2058.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2054.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2053.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2041.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2023.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2007.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1962.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1957.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1947.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1943.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1928.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1904.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1862.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1856.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1853.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1850.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1845.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1843.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1832.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1786.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1751.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1750.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1734.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1725.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1721.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1713.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1711.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1701.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1674.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1644.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1644.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1628.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1624.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1612.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1593.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1585.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1568.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1550.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1540.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1536.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1528.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1522.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1516.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1503.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1471.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1466.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1457.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1456.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1455.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1454.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1419.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1417.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1410.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1408.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1408.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1384.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1376.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1351.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1341.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1305.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1302.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1261.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1255.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1253.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1245.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1216.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1209.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1205.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1202.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1181.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1173.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1172.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1156.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1145.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1141.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1129.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1117.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1116.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1104.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1096.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1088.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1079.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1076.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1069.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1064.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1059.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1055.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1035.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1026.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1022.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1022.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1016.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1011.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
996.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
994.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
992.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
991.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
984.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
979.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
943.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
937.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
932.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
929.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
923.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
922.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
901.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
897.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
896.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
892.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
874.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
866.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
861.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
853.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
851.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
848.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
846.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
840.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
838.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
835.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
829.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
824.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
820.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
819.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
806.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
803.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
795.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
767.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
755.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
752.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
745.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
706.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
705.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
700.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
699.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
698.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
694.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
688.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
683.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
677.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
655.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
648.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
623.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
613.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
608.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
596.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
587.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
566.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
545.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
541.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
541.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
539.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
526.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
511.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
497.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
497.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
473.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
467.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
464.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
464.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
456.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
436.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
427.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
412.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
400.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
377.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
368.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
365.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
361.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
358.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
358.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
357.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
344.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
332.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
331.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
329.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
324.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
318.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
312.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
310.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
295.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
288.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
286.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
286.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
272.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
268.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
261.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
257.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
248.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
247.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
244.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
239.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
234.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
233.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
227.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
227.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
206.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
203.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
203.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
201.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
196.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
191.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
191.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
190.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
190.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
189.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
183.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
173.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
173.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
167.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
164.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
161.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
159.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
146.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
146.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
145.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
143.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
137.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
135.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
116.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
112.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
111.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
104.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
103.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
102.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
100.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
98.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
92.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
92.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
89.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
89.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
89.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
88.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
87.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
87.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
84.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
84.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
83.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
83.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
81.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
78.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
75.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
74.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
71.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
70.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
65.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
60.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
57.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
57.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
56.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
54.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
48.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
47.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
43.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
41.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
41.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
38.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
33.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
27.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
27.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
26.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
23.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
23.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
22.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
19.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
19.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
17.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
11.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
10.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
10.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
9.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
9.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
8.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
6.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
6.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
5.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
3.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
0.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
0.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
0.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
0.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
0.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
0.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
HRG is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1340.8
Number of samples
231
Samples
Sample
Description
TPM
DO23550
69 years, male, NA, stage:1, alive, 990 days
7537.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
6884.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
6852.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
5854.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
5487.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
5116.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
4994.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
4897.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
4640.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
4545.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
4389.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
4234.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4021.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3875.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
3729.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
3585.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
3501.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
3475.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
3373.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
3304.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
3303.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
3301.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3262.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
3179.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3133.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
3111.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3092.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
3082.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
2987.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
2945.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2934.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2929.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
2847.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2652.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
2643.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
2625.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
2588.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2534.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
2520.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2517.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
2491.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2470.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
2395.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2392.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
2297.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2282.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
2273.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
2264.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
2247.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
2233.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2187.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
2154.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
2140.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
2140.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
1992.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
1949.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
1906.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1905.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1896.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1871.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
1863.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1857.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
1844.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
1815.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1786.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1770.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
1735.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1726.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1694.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1691.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1690.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1687.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
1640.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1638.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1637.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
1606.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
1600.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1596.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1581.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1551.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1516.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1492.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1483.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
1483.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1465.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
1464.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1452.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1409.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1371.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
1365.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1351.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1331.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1283.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1271.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1266.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1261.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
1231.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1198.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1190.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
1165.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1137.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
1086.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1084.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1071.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
1068.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1048.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1043.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
1033.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1016.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1001.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
993.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
969.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
961.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
944.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
941.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
928.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
920.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
909.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
902.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
895.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
890.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
886.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
853.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
842.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
805.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
804.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
798.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
781.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
765.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
760.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
758.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
757.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
748.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
742.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
728.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
712.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
689.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
663.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
646.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
616.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
602.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
588.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
581.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
576.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
532.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
526.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
516.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
514.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
506.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
487.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
450.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
447.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
444.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
437.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
425.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
396.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
394.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
392.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
388.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
385.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
370.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
366.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
358.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
353.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
350.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
337.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
333.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
327.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
326.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
301.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
282.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
275.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
275.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
259.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
253.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
251.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
243.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
228.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
213.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
185.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
168.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
160.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
156.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
144.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
141.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
122.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
113.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
103.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
100.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
93.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
78.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
73.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
47.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
43.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
40.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
37.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
36.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
35.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
29.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
29.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
26.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
26.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
22.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
20.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
15.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
14.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
13.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
13.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
11.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
10.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
7.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
7.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
5.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
5.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
4.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
4.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
4.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
4.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
2.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
0.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
0.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
863
Tumor
1.9
877
Tumor
1.6
343
Tumor
1.4
112
Tumor
1.3
425
Tumor
1.1
192
Normal
1.1
135
Tumor
1.1
924
Normal
1.0
921
Tumor
1.0
487
Tumor
0.9
524
Normal
0.8
713
Tumor
0.8
452
Normal
0.8
391
Tumor
0.8
785
Tumor
0.8
615
Tumor
0.7
777
Tumor
0.7
137
Tumor
0.7
445
Tumor
0.7
328
Normal
0.6
257
Tumor
0.6
964
Normal
0.6
617
Tumor
0.6
365
Tumor
0.6
746
Normal
0.5
912
Normal
0.5
423
Tumor
0.5
563
Tumor
0.5
618
Normal
0.5
671
Tumor
0.5
342
Normal
0.5
722
Normal
0.5
517
Tumor
0.4
1027
Tumor
0.4
564
Normal
0.4
161
Tumor
0.4
636
Normal
0.4
1045
Tumor
0.4
616
Normal
0.4
647
Tumor
0.4
191
Tumor
0.4
943
Tumor
0.4
124
Normal
0.4
465
Tumor
0.4
857
Tumor
0.4
663
Tumor
0.4
186
Normal
0.4
697
Tumor
0.4
538
Normal
0.4
546
Normal
0.4
471
Tumor
0.4
185
Tumor
0.3
867
Tumor
0.3
468
Normal
0.3
141
Tumor
0.3
648
Normal
0.3
1041
Tumor
0.3
818
Normal
0.3
214
Normal
0.3
114
Normal
0.3
283
Tumor
0.3
723
Tumor
0.3
146
Normal
0.3
967
Tumor
0.3
813
Tumor
0.3
696
Normal
0.3
878
Normal
0.3
498
Normal
0.3
666
Normal
0.3
494
Normal
0.3
267
Tumor
0.3
138
Normal
0.3
227
Tumor
0.3
375
Tumor
0.3
695
Tumor
0.3
463
Tumor
0.3
132
Normal
0.3
778
Normal
0.3
188
Normal
0.2
474
Normal
0.2
874
Normal
0.2
721
Tumor
0.2
393
Tumor
0.2
884
Normal
0.2
741
Tumor
0.2
918
Normal
0.2
815
Tumor
0.2
571
Tumor
0.2
817
Tumor
0.2
672
Normal
0.2
558
Normal
0.2
523
Tumor
0.2
424
Normal
0.2
868
Normal
0.2
111
Normal
0.2
963
Tumor
0.2
136
Normal
0.2
311
Tumor
0.2
922
Normal
0.2
917
Tumor
0.2
515
Tumor
0.2
852
Normal
0.2
574
Normal
0.2
738
Normal
0.2
958
Normal
0.2
195
Tumor
0.2
354
Normal
0.2
224
Normal
0.2
662
Normal
0.2
196
Normal
0.2
297
Tumor
0.2
125
Tumor
0.2
1046
Normal
0.2
864
Normal
0.2
142
Normal
0.2
366
Normal
0.2
312
Normal
0.2
478
Normal
0.2
232
Normal
0.2
455
Tumor
0.2
976
Normal
0.2
128
Normal
0.1
258
Normal
0.1
966
Normal
0.1
882
Normal
0.1
268
Normal
0.1
727
Tumor
0.1
744
Normal
0.1
628
Normal
0.1
1044
Normal
0.1
187
Tumor
0.1
938
Normal
0.1
262
Normal
0.1
742
Normal
0.1
361
Tumor
0.1
217
Tumor
0.1
358
Normal
0.1
414
Normal
0.1
327
Tumor
0.1
488
Normal
0.1
1042
Normal
0.1
1022
Normal
0.1
823
Tumor
0.1
172
Normal
0.1
314
Normal
0.1
261
Tumor
0.1
162
Normal
0.1
534
Normal
0.1
223
Tumor
0.1
426
Normal
0.1
464
Normal
0.1
665
Tumor
0.1
545
Tumor
0.1
272
Normal
0.1
1013
Tumor
0.1
491
Tumor
0.1
914
Normal
0.1
526
Normal
0.1
953
Tumor
0.1
686
Normal
0.0
145
Tumor
0.0
716
Normal
0.0
384
Normal
0.0
514
Normal
0.0
228
Normal
0.0
926
Normal
0.0
1032
Normal
0.0
956
Normal
0.0
862
Normal
0.0
444
Normal
0.0
362
Normal
0.0
968
Normal
0.0
664
Normal
0.0
456
Normal
0.0
525
Tumor
0.0
355
Tumor
0.0
411
Tumor
0.0
627
Tumor
0.0
492
Normal
0.0
916
Normal
0.0
368
Normal
0.0
642
Normal
0.0
513
Tumor
0.0
1028
Normal
0.0
516
Normal
0.0
394
Normal
0.0
472
Normal
0.0
126
Normal
0.0
344
Normal
0.0
568
Normal
0.0
1043
Tumor
0.0
572
Normal
0.0
698
Normal
0.0
873
Tumor
0.0
518
Normal
0.0
364
Normal
0.0
497
Tumor
0.0
466
Normal
0.0
341
Tumor
0.0
448
Normal
-0.1
866
Normal
-0.1
975
Tumor
-0.1
386
Normal
-0.1
756
Normal
-0.1
367
Tumor
-0.1
913
Tumor
-0.1
858
Normal
-0.1
881
Tumor
-0.1
416
Normal
-0.1
313
Tumor
-0.1
714
Normal
-0.1
461
Tumor
-0.1
278
Normal
-0.1
213
Tumor
-0.1
728
Normal
-0.1
421
Tumor
-0.1
388
Normal
-0.1
356
Normal
-0.1
484
Normal
-0.1
298
Normal
-0.1
911
Tumor
-0.1
745
Tumor
-0.1
353
Tumor
-0.1
865
Tumor
-0.1
422
Normal
-0.1
435
Tumor
-0.1
477
Tumor
-0.1
1014
Normal
-0.1
957
Tumor
-0.1
1016
Normal
-0.1
462
Normal
-0.1
113
Tumor
-0.1
131
Tumor
-0.1
483
Tumor
-0.1
851
Tumor
-0.1
412
Normal
-0.2
984
Normal
-0.2
481
Tumor
-0.2
431
Tumor
-0.2
473
Tumor
-0.2
824
Normal
-0.2
147
Tumor
-0.2
786
Normal
-0.2
392
Normal
-0.2
944
Normal
-0.2
954
Normal
-0.2
755
Tumor
-0.2
952
Normal
-0.2
383
Tumor
-0.2
436
Normal
-0.2
982
Normal
-0.2
816
Normal
-0.2
222
Normal
-0.2
641
Tumor
-0.2
737
Tumor
-0.2
1026
Normal
-0.2
332
Normal
-0.2
467
Tumor
-0.2
127
Tumor
-0.2
428
Normal
-0.2
376
Normal
-0.2
493
Tumor
-0.2
977
Tumor
-0.3
363
Tumor
-0.3
212
Normal
-0.3
715
Tumor
-0.3
352
Normal
-0.3
148
Normal
-0.3
923
Tumor
-0.3
434
Normal
-0.3
415
Tumor
-0.3
284
Normal
-0.3
433
Tumor
-0.3
925
Tumor
-0.3
937
Tumor
-0.4
983
Tumor
-0.4
685
Tumor
-0.4
528
Normal
-0.4
978
Normal
-0.4
554
Normal
-0.4
218
Normal
-0.4
814
Normal
-0.4
451
Tumor
-0.4
743
Tumor
-0.4
396
Normal
-0.4
482
Normal
-0.4
557
Tumor
-0.4
271
Tumor
-0.4
446
Normal
-0.4
447
Tumor
-0.4
955
Tumor
-0.4
443
Tumor
-0.4
536
Normal
-0.4
432
Normal
-0.4
573
Tumor
-0.4
533
Tumor
-0.4
331
Tumor
-0.4
883
Tumor
-0.4
981
Tumor
-0.5
277
Tumor
-0.5
535
Tumor
-0.5
915
Tumor
-0.5
395
Tumor
-0.5
171
Tumor
-0.5
351
Tumor
-0.5
965
Tumor
-0.5
286
Normal
-0.5
231
Tumor
-0.5
123
Tumor
-0.5
1015
Tumor
-0.6
861
Tumor
-0.6
357
Tumor
-0.6
221
Tumor
-0.6
387
Tumor
-0.7
285
Tumor
-0.7
1025
Tumor
-0.7
567
Tumor
-0.7
413
Tumor
-0.7
661
Tumor
-0.7
553
Tumor
-0.8
385
Tumor
-0.8
635
Tumor
-0.8
1031
Tumor
-0.9
951
Tumor
-0.9
427
Tumor
-0.9
527
Tumor
-0.9
724
Normal
-1.0
1021
Tumor
-1.0
537
Tumor
-1.0
211
Tumor
-1.0
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.