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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.
APCS 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 pTPM
1149.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4873.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4589.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
4553.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
4441.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
4185.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
4156.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
4123.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3994.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3760.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3664.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3625.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3625.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3607.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3554.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3535.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
3530.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3490.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3433.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
3319.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3193.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3175.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3156.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3133.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2999.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2988.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2904.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2855.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2853.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2845.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2789.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2789.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2786.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2765.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2724.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2707.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2685.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2661.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
2654.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2614.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2597.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2593.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2589.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2576.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2575.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2573.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2572.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2523.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2513.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2497.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2475.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2395.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2372.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2367.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2367.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2301.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2284.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2252.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2199.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2199.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2190.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2188.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2163.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2118.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2049.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2043.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1918.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1913.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1910.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1868.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1839.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1839.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1825.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1785.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1781.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1778.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1758.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1739.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1731.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1711.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1685.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1678.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1669.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1626.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1620.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1615.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1607.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1597.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1592.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1590.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1587.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1574.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1572.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1546.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1543.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1534.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1508.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1507.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1503.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1492.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1491.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1483.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1470.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1450.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1440.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1436.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1436.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1435.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1435.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1434.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1431.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1411.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1367.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1361.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1349.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1347.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1346.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1346.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1341.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1338.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1338.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1338.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1337.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1335.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1331.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1326.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1310.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1304.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1299.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1283.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1260.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1249.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1248.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1244.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1243.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1230.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1219.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1205.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1187.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1185.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1178.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1162.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1161.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1157.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1156.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1152.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1147.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1143.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1133.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1120.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1096.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1092.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1089.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1067.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1066.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1065.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1064.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1053.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1049.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1039.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1038.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1035.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1035.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1032.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1030.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1023.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1021.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1021.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
996.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
995.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
982.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
961.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
958.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
946.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
938.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
930.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
919.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
917.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
916.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
912.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
898.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
894.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
881.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
879.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
853.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
853.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
853.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
850.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
833.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
825.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
817.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
817.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
807.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
791.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
783.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
780.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
776.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
773.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
765.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
757.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
756.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
754.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
747.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
743.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
740.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
737.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
729.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
726.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
718.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
715.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
714.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
714.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
705.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
700.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
688.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
685.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
684.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
670.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
670.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
664.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
638.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
625.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
622.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
620.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
618.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
616.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
616.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
607.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
605.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
596.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
577.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
577.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
575.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
575.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
568.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
564.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
558.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
554.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
548.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
546.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
544.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
540.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
538.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
530.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
527.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
523.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
504.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
500.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
500.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
498.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
497.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
495.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
490.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
484.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
465.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
464.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
463.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
458.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
455.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
441.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
437.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
436.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
420.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
419.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
410.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
406.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
402.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
400.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
392.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
387.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
384.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
366.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
361.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
361.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
348.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
347.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
342.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
329.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
309.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
307.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
302.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
296.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
292.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
291.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
284.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
279.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
273.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
271.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
268.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
264.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
259.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
259.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
250.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
250.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
247.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
245.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
237.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
232.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
229.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
222.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
209.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
207.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
201.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
185.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
182.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
176.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
175.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
171.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
170.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
167.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
167.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
156.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
147.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
145.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
144.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
142.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
139.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
133.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
117.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
117.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
115.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
114.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
109.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
107.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
96.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
94.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
93.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
89.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
88.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
87.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
86.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
85.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
84.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
81.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
76.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
73.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
62.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
62.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
54.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
43.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
35.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
33.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
33.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
32.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
30.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
27.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
27.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
25.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
25.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
21.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
8.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
7.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
5.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APCS is potential 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 pTPM
1629.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7294.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
6707.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
6507.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
6235.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
6113.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
5662.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
5514.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
5054.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
4960.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
4945.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
4870.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
4740.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
4598.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4585.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
4442.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
4315.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
4297.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
4276.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
4094.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
3777.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
3763.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
3715.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
3632.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3500.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
3233.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
3195.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
3175.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
3115.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3070.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3069.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
3024.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
2973.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
2971.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
2939.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
2870.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2862.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2773.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2756.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
2754.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
2639.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
2626.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2620.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
2619.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
2617.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
2572.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
2525.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2518.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
2457.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2455.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
2446.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2420.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
2418.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2411.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
2341.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
2293.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2292.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
2292.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
2193.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2165.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
2156.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
2154.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2146.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2099.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2092.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
2059.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
2043.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
2040.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
2032.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
1957.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1948.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
1936.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
1925.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1903.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1901.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1888.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1812.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1812.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
1790.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1779.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1770.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1758.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1733.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1695.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1650.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1649.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
1646.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1644.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1640.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1634.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1618.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
1603.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
1579.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1545.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1533.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
1531.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
1505.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
1493.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1467.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1452.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1436.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1430.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1413.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
1413.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
1408.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
1406.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1398.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1395.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1381.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1360.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
1320.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
1312.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
1304.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1299.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1285.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
1265.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1253.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
1252.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1249.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1216.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
1198.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
1192.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
1180.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1161.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1152.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1145.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1144.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1131.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
1125.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1118.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1115.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
1112.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1093.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
1092.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
1090.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
1083.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
1062.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
1037.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1027.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1002.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1001.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
993.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
978.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
971.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
964.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
964.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
960.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
955.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
933.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
932.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
914.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
911.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
900.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
886.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
886.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
880.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
854.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
831.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
828.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
805.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
789.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
784.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
774.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
768.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
761.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
758.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
757.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
738.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
722.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
721.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
692.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
680.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
666.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
651.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
644.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
636.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
630.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
624.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
624.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
623.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
607.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
605.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
577.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
572.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
535.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
507.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
488.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
474.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
472.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
460.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
440.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
439.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
420.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
402.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
389.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
387.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
347.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
298.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
286.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
285.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
272.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
269.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
259.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
256.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
236.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
234.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
232.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
223.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
161.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
103.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
99.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
90.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
84.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
74.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
72.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
64.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
36.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
35.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
27.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
26.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
20.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
4.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
4.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
3.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
3.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
1.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
1.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
192
Normal
2.5
862
Normal
1.9
224
Normal
1.9
354
Normal
1.6
958
Normal
1.6
1044
Normal
1.5
384
Normal
1.3
392
Normal
1.3
394
Normal
1.2
268
Normal
1.1
742
Normal
1.1
922
Normal
1.1
124
Normal
1.1
186
Normal
1.0
976
Normal
1.0
218
Normal
0.9
716
Normal
0.9
146
Normal
0.9
451
Tumor
0.9
388
Normal
0.9
444
Normal
0.9
982
Normal
0.9
185
Tumor
0.9
672
Normal
0.9
884
Normal
0.9
558
Normal
0.9
636
Normal
0.8
448
Normal
0.8
818
Normal
0.8
852
Normal
0.8
352
Normal
0.8
494
Normal
0.8
574
Normal
0.7
864
Normal
0.7
422
Normal
0.7
918
Normal
0.7
366
Normal
0.7
474
Normal
0.7
516
Normal
0.7
111
Normal
0.7
662
Normal
0.7
524
Normal
0.7
262
Normal
0.7
664
Normal
0.7
926
Normal
0.6
327
Tumor
0.6
126
Normal
0.6
616
Normal
0.6
222
Normal
0.6
572
Normal
0.6
723
Tumor
0.6
536
Normal
0.6
697
Tumor
0.6
162
Normal
0.6
938
Normal
0.6
567
Tumor
0.6
1026
Normal
0.6
514
Normal
0.6
332
Normal
0.6
744
Normal
0.6
912
Normal
0.6
618
Normal
0.5
462
Normal
0.5
882
Normal
0.5
446
Normal
0.5
148
Normal
0.5
1022
Normal
0.5
286
Normal
0.5
823
Tumor
0.5
284
Normal
0.5
424
Normal
0.4
217
Tumor
0.4
538
Normal
0.4
232
Normal
0.4
228
Normal
0.4
142
Normal
0.4
666
Normal
0.4
916
Normal
0.4
866
Normal
0.4
814
Normal
0.4
628
Normal
0.4
432
Normal
0.4
564
Normal
0.4
484
Normal
0.4
188
Normal
0.4
978
Normal
0.4
816
Normal
0.4
461
Tumor
0.4
954
Normal
0.4
528
Normal
0.4
362
Normal
0.3
964
Normal
0.3
968
Normal
0.3
466
Normal
0.3
696
Normal
0.3
386
Normal
0.3
571
Tumor
0.3
568
Normal
0.3
526
Normal
0.3
944
Normal
0.3
858
Normal
0.3
456
Normal
0.3
482
Normal
0.3
196
Normal
0.3
426
Normal
0.3
492
Normal
0.2
414
Normal
0.2
368
Normal
0.2
464
Normal
0.2
344
Normal
0.2
214
Normal
0.2
212
Normal
0.2
358
Normal
0.2
223
Tumor
0.2
138
Normal
0.2
981
Tumor
0.2
132
Normal
0.2
868
Normal
0.1
452
Normal
0.1
642
Normal
0.1
396
Normal
0.1
756
Normal
0.1
272
Normal
0.1
412
Normal
0.1
1046
Normal
0.1
428
Normal
0.1
738
Normal
0.1
686
Normal
0.1
314
Normal
0.1
298
Normal
0.1
172
Normal
0.1
778
Normal
0.1
478
Normal
0.1
1028
Normal
0.1
786
Normal
0.1
472
Normal
0.1
924
Normal
0.1
258
Normal
0.1
364
Normal
0.1
914
Normal
0.1
436
Normal
0.1
136
Normal
0.0
1032
Normal
0.0
573
Tumor
0.0
874
Normal
0.0
824
Normal
0.0
713
Tumor
0.0
447
Tumor
0.0
488
Normal
0.0
518
Normal
0.0
698
Normal
0.0
434
Normal
0.0
328
Normal
0.0
415
Tumor
0.0
128
Normal
0.0
278
Normal
0.0
114
Normal
0.0
917
Tumor
0.0
746
Normal
0.0
1045
Tumor
0.0
383
Tumor
0.0
376
Normal
0.0
191
Tumor
0.0
416
Normal
-0.1
956
Normal
-0.1
785
Tumor
-0.1
714
Normal
-0.1
312
Normal
-0.1
975
Tumor
-0.1
648
Normal
-0.1
468
Normal
-0.1
487
Tumor
-0.1
355
Tumor
-0.1
722
Normal
-0.1
421
Tumor
-0.1
498
Normal
-0.1
1016
Normal
-0.1
342
Normal
-0.1
563
Tumor
-0.1
857
Tumor
-0.2
1015
Tumor
-0.2
817
Tumor
-0.2
534
Normal
-0.2
195
Tumor
-0.2
943
Tumor
-0.2
356
Normal
-0.2
728
Normal
-0.2
878
Normal
-0.2
1014
Normal
-0.2
545
Tumor
-0.2
141
Tumor
-0.2
515
Tumor
-0.2
984
Normal
-0.2
546
Normal
-0.2
525
Tumor
-0.2
353
Tumor
-0.3
557
Tumor
-0.3
483
Tumor
-0.3
627
Tumor
-0.3
966
Normal
-0.3
227
Tumor
-0.3
135
Tumor
-0.4
113
Tumor
-0.4
277
Tumor
-0.4
147
Tumor
-0.4
952
Normal
-0.4
1042
Normal
-0.4
813
Tumor
-0.4
361
Tumor
-0.4
161
Tumor
-0.5
257
Tumor
-0.5
145
Tumor
-0.5
467
Tumor
-0.5
695
Tumor
-0.5
1043
Tumor
-0.5
491
Tumor
-0.5
745
Tumor
-0.5
393
Tumor
-0.5
963
Tumor
-0.5
877
Tumor
-0.5
671
Tumor
-0.5
261
Tumor
-0.5
915
Tumor
-0.6
615
Tumor
-0.6
137
Tumor
-0.6
481
Tumor
-0.6
411
Tumor
-0.6
554
Normal
-0.6
433
Tumor
-0.6
513
Tumor
-0.6
297
Tumor
-0.6
221
Tumor
-0.6
187
Tumor
-0.6
343
Tumor
-0.6
523
Tumor
-0.6
724
Normal
-0.6
423
Tumor
-0.6
231
Tumor
-0.6
881
Tumor
-0.6
617
Tumor
-0.6
455
Tumor
-0.6
125
Tumor
-0.6
883
Tumor
-0.6
665
Tumor
-0.7
527
Tumor
-0.7
365
Tumor
-0.7
493
Tumor
-0.7
937
Tumor
-0.7
553
Tumor
-0.7
311
Tumor
-0.7
1021
Tumor
-0.8
533
Tumor
-0.8
267
Tumor
-0.8
285
Tumor
-0.8
213
Tumor
-0.8
537
Tumor
-0.8
641
Tumor
-0.8
861
Tumor
-0.8
913
Tumor
-0.8
271
Tumor
-0.9
391
Tumor
-0.9
465
Tumor
-0.9
431
Tumor
-0.9
867
Tumor
-0.9
413
Tumor
-0.9
1025
Tumor
-0.9
395
Tumor
-0.9
1013
Tumor
-0.9
127
Tumor
-1.0
955
Tumor
-1.0
1031
Tumor
-1.0
977
Tumor
-1.0
957
Tumor
-1.0
721
Tumor
-1.0
851
Tumor
-1.0
283
Tumor
-1.0
497
Tumor
-1.1
375
Tumor
-1.1
647
Tumor
-1.1
477
Tumor
-1.1
953
Tumor
-1.1
777
Tumor
-1.1
471
Tumor
-1.1
911
Tumor
-1.1
873
Tumor
-1.1
331
Tumor
-1.2
463
Tumor
-1.2
741
Tumor
-1.2
715
Tumor
-1.2
921
Tumor
-1.2
357
Tumor
-1.2
863
Tumor
-1.2
923
Tumor
-1.3
211
Tumor
-1.3
112
Tumor
-1.3
171
Tumor
-1.3
517
Tumor
-1.3
925
Tumor
-1.3
363
Tumor
-1.3
123
Tumor
-1.3
341
Tumor
-1.3
967
Tumor
-1.3
473
Tumor
-1.4
755
Tumor
-1.4
351
Tumor
-1.4
685
Tumor
-1.4
635
Tumor
-1.4
387
Tumor
-1.4
535
Tumor
-1.4
443
Tumor
-1.4
367
Tumor
-1.4
1041
Tumor
-1.5
663
Tumor
-1.5
131
Tumor
-1.5
385
Tumor
-1.5
983
Tumor
-1.6
427
Tumor
-1.6
435
Tumor
-1.6
313
Tumor
-1.6
815
Tumor
-1.7
727
Tumor
-1.7
445
Tumor
-1.7
737
Tumor
-1.8
743
Tumor
-1.8
865
Tumor
-1.9
425
Tumor
-1.9
1027
Tumor
-1.9
951
Tumor
-2.2
965
Tumor
-2.2
661
Tumor
-2.2
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
