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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.
HPX 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 pTPM
1671.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6277.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5717.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5514.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5206.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
5128.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
5089.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4967.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4891.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4850.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4711.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4696.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
4491.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4476.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4470.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
4405.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4395.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4352.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
4214.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4170.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
4142.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4112.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4107.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
4073.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3979.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3945.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3905.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3862.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
3792.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
3767.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3727.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3697.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3651.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3585.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3568.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
3560.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3528.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3522.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3514.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3475.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3455.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3421.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
3410.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3399.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3379.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3264.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
3251.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
3221.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3201.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3189.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3109.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
3088.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3078.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3044.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3043.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3034.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3029.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3020.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3008.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2961.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2949.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2901.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2878.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2846.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2842.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2826.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2811.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2794.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2776.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2749.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2676.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2666.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2664.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2605.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2601.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2600.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2599.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2568.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2562.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2542.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2532.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2529.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2520.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2490.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2477.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2471.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2450.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2418.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2415.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2414.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2410.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2394.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2377.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2374.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2350.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2349.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2340.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2339.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2320.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2318.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2318.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2312.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2297.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2277.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2262.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2226.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2225.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2217.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2213.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2189.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2188.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2178.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2174.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2139.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2132.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2129.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2125.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2074.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2069.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2061.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2047.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2043.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2041.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2041.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2040.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2028.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2022.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2012.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2007.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1986.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1967.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1938.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1934.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1921.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1907.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1886.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1884.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1884.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1857.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1835.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1828.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1812.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1805.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1795.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1781.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1775.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1726.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1718.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1707.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1706.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1705.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1702.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1700.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1687.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1685.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1674.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1655.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1647.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1643.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1630.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1602.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1578.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1553.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1544.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1542.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1539.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1531.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1525.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1524.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1522.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1502.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1497.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1493.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1485.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1480.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1480.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1460.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1441.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1428.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1425.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1419.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1397.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1391.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1378.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1365.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1356.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1350.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1350.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1331.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1328.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1326.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1326.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1320.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1320.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1310.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1296.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1286.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1282.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1275.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1263.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1261.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1257.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1246.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1236.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1235.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1229.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1224.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1173.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1167.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1155.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1138.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1137.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1120.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1117.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1116.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1114.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1109.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1106.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1095.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1089.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1080.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1067.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1064.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1058.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1058.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1052.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1052.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1051.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1039.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1027.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1026.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
996.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
986.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
986.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
979.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
972.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
972.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
969.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
962.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
946.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
942.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
939.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
932.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
932.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
930.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
926.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
913.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
909.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
888.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
882.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
878.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
842.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
814.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
811.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
785.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
784.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
781.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
775.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
765.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
761.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
755.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
741.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
735.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
726.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
725.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
721.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
697.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
694.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
693.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
687.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
675.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
659.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
658.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
647.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
641.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
639.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
639.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
638.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
637.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
636.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
624.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
616.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
605.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
598.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
583.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
563.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
563.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
551.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
511.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
502.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
492.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
479.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
470.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
457.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
444.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
444.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
434.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
425.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
423.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
421.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
415.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
413.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
406.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
405.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
396.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
390.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
370.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
367.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
365.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
364.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
344.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
335.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
331.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
294.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
291.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
286.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
284.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
276.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
275.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
269.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
267.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
264.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
234.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
233.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
232.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
232.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
231.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
225.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
225.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
220.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
213.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
179.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
176.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
167.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
166.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
162.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
152.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
151.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
143.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
141.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
139.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
137.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
134.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
115.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
110.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
102.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
95.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
88.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
56.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
55.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
46.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
40.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
26.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
20.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
19.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
8.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 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.
HPX 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 pTPM
1890.0
Number of samples
231
Samples
Sample
Description
pTPM
DO227643
79 years, male, NA, stage:2, alive, 1260 days
6381.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6279.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6251.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
6138.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
5826.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
5675.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
5598.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
5471.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
5310.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
5162.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
5148.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
5049.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4971.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
4851.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
4813.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
4624.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
4578.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
4425.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
4383.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
4161.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
4117.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
3986.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
3909.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
3905.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3896.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3670.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
3600.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
3590.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3581.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3478.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3433.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
3263.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
3262.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
3259.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
3233.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
3231.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
3163.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
3109.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
3098.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
3083.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
3040.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2958.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
2945.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
2881.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2855.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
2794.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
2785.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
2783.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2746.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
2720.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2670.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
2627.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
2611.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
2559.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2554.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
2554.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2552.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
2550.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
2521.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2513.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
2503.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2502.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
2484.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
2482.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
2475.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
2438.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
2436.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2428.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
2423.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
2409.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
2407.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
2405.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
2397.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2385.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
2376.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
2339.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2310.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2309.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2277.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
2233.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
2224.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
2209.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2206.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2204.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2204.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2163.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
2085.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
2002.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
1990.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1982.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1965.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1958.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
1933.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
1929.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
1927.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
1912.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1896.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
1886.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1877.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1866.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1864.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
1837.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
1828.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1812.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1805.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
1805.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1788.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1788.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1786.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
1756.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
1754.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
1737.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1700.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1696.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1689.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1679.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
1668.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
1644.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
1642.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1618.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
1598.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1597.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1588.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1578.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1564.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1520.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1510.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1506.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1497.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
1481.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
1459.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
1442.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1435.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
1429.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1424.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
1413.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1404.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1398.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
1379.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1356.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1284.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1276.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1272.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
1266.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1257.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1252.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
1220.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1220.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
1212.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1207.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
1205.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1163.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
1154.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1144.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1117.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
1113.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1088.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1074.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1057.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
1046.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1024.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1020.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1007.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
991.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
982.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
953.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
932.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
924.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
915.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
908.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
902.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
860.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
856.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
834.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
828.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
824.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
796.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
796.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
792.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
758.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
740.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
706.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
685.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
613.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
607.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
595.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
570.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
568.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
559.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
523.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
480.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
462.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
451.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
424.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
418.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
413.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
408.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
365.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
352.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
308.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
279.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
261.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
232.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
209.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
190.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
165.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
148.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
145.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
134.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
128.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
114.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
82.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
80.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
77.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
75.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
69.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
59.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
36.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
32.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
26.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
16.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
14.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
13.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
13.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
8.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
7.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
4.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
3.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
3.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
2.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
1.7
877
Tumor
1.4
192
Normal
1.0
375
Tumor
0.9
785
Tumor
0.9
671
Tumor
0.8
813
Tumor
0.7
1045
Tumor
0.6
217
Tumor
0.6
425
Tumor
0.6
635
Tumor
0.6
391
Tumor
0.5
863
Tumor
0.5
744
Normal
0.5
777
Tumor
0.5
395
Tumor
0.5
311
Tumor
0.4
713
Tumor
0.4
778
Normal
0.4
746
Normal
0.4
455
Tumor
0.4
697
Tumor
0.4
393
Tumor
0.4
283
Tumor
0.4
816
Normal
0.4
141
Tumor
0.4
636
Normal
0.4
618
Normal
0.4
223
Tumor
0.4
125
Tumor
0.4
665
Tumor
0.4
142
Normal
0.4
261
Tumor
0.4
817
Tumor
0.3
218
Normal
0.3
224
Normal
0.3
344
Normal
0.3
461
Tumor
0.3
741
Tumor
0.3
365
Tumor
0.3
737
Tumor
0.3
297
Tumor
0.3
615
Tumor
0.3
491
Tumor
0.3
525
Tumor
0.3
384
Normal
0.3
924
Normal
0.2
1028
Normal
0.2
553
Tumor
0.2
642
Normal
0.2
126
Normal
0.2
917
Tumor
0.2
517
Tumor
0.2
627
Tumor
0.2
545
Tumor
0.2
881
Tumor
0.2
444
Normal
0.2
967
Tumor
0.2
743
Tumor
0.2
327
Tumor
0.2
342
Normal
0.2
383
Tumor
0.2
396
Normal
0.1
815
Tumor
0.1
921
Tumor
0.1
368
Normal
0.1
111
Normal
0.1
394
Normal
0.1
421
Tumor
0.1
367
Tumor
0.1
124
Normal
0.1
487
Tumor
0.1
535
Tumor
0.1
568
Normal
0.1
851
Tumor
0.1
186
Normal
0.1
474
Normal
0.1
113
Tumor
0.1
538
Normal
0.1
135
Tumor
0.1
1041
Tumor
0.1
911
Tumor
0.1
672
Normal
0.1
574
Normal
0.1
695
Tumor
0.1
982
Normal
0.1
286
Normal
0.1
464
Normal
0.1
285
Tumor
0.1
573
Tumor
0.1
563
Tumor
0.1
376
Normal
0.1
452
Normal
0.1
195
Tumor
0.1
138
Normal
0.1
328
Normal
0.0
386
Normal
0.0
114
Normal
0.0
536
Normal
0.0
878
Normal
0.0
857
Tumor
0.0
447
Tumor
0.0
1026
Normal
0.0
385
Tumor
0.0
185
Tumor
0.0
546
Normal
0.0
492
Normal
0.0
392
Normal
0.0
884
Normal
0.0
814
Normal
0.0
191
Tumor
0.0
358
Normal
0.0
862
Normal
0.0
1046
Normal
0.0
1015
Tumor
0.0
526
Normal
0.0
738
Normal
0.0
786
Normal
0.0
952
Normal
0.0
554
Normal
0.0
914
Normal
0.0
354
Normal
0.0
567
Tumor
0.0
228
Normal
0.0
823
Tumor
0.0
647
Tumor
0.0
414
Normal
0.0
867
Tumor
0.0
868
Normal
0.0
1022
Normal
0.0
388
Normal
0.0
564
Normal
0.0
616
Normal
0.0
137
Tumor
0.0
964
Normal
0.0
883
Tumor
0.0
222
Normal
0.0
666
Normal
0.0
938
Normal
0.0
146
Normal
0.0
915
Tumor
0.0
663
Tumor
0.0
363
Tumor
0.0
456
Normal
-0.1
426
Normal
-0.1
366
Normal
-0.1
468
Normal
-0.1
715
Tumor
-0.1
232
Normal
-0.1
874
Normal
-0.1
332
Normal
-0.1
424
Normal
-0.1
472
Normal
-0.1
341
Tumor
-0.1
963
Tumor
-0.1
648
Normal
-0.1
196
Normal
-0.1
818
Normal
-0.1
488
Normal
-0.1
221
Tumor
-0.1
756
Normal
-0.1
975
Tumor
-0.1
1016
Normal
-0.1
571
Tumor
-0.1
467
Tumor
-0.1
353
Tumor
-0.1
428
Normal
-0.1
136
Normal
-0.1
572
Normal
-0.1
966
Normal
-0.1
112
Tumor
-0.1
284
Normal
-0.1
463
Tumor
-0.1
462
Normal
-0.1
866
Normal
-0.1
515
Tumor
-0.1
723
Tumor
-0.1
128
Normal
-0.1
262
Normal
-0.1
214
Normal
-0.1
312
Normal
-0.1
861
Tumor
-0.1
968
Normal
-0.1
696
Normal
-0.1
716
Normal
-0.1
728
Normal
-0.1
148
Normal
-0.1
981
Tumor
-0.1
1044
Normal
-0.1
448
Normal
-0.1
983
Tumor
-0.1
268
Normal
-0.2
518
Normal
-0.2
466
Normal
-0.2
722
Normal
-0.2
956
Normal
-0.2
745
Tumor
-0.2
1027
Tumor
-0.2
686
Normal
-0.2
641
Tumor
-0.2
852
Normal
-0.2
188
Normal
-0.2
298
Normal
-0.2
685
Tumor
-0.2
436
Normal
-0.2
362
Normal
-0.2
352
Normal
-0.2
145
Tumor
-0.2
364
Normal
-0.2
422
Normal
-0.2
916
Normal
-0.2
212
Normal
-0.2
858
Normal
-0.2
213
Tumor
-0.2
755
Tumor
-0.2
527
Tumor
-0.2
662
Normal
-0.2
1025
Tumor
-0.2
912
Normal
-0.2
278
Normal
-0.2
922
Normal
-0.2
742
Normal
-0.2
132
Normal
-0.2
617
Tumor
-0.2
937
Tumor
-0.2
446
Normal
-0.2
432
Normal
-0.2
314
Normal
-0.2
172
Normal
-0.2
824
Normal
-0.2
557
Tumor
-0.2
258
Normal
-0.2
664
Normal
-0.2
465
Tumor
-0.2
187
Tumor
-0.3
162
Normal
-0.3
361
Tumor
-0.3
423
Tumor
-0.3
331
Tumor
-0.3
923
Tumor
-0.3
558
Normal
-0.3
698
Normal
-0.3
965
Tumor
-0.3
131
Tumor
-0.3
434
Normal
-0.3
513
Tumor
-0.3
918
Normal
-0.3
864
Normal
-0.3
628
Normal
-0.3
1043
Tumor
-0.3
951
Tumor
-0.3
416
Normal
-0.3
882
Normal
-0.3
147
Tumor
-0.3
272
Normal
-0.3
277
Tumor
-0.3
471
Tumor
-0.3
481
Tumor
-0.3
913
Tumor
-0.3
351
Tumor
-0.3
714
Normal
-0.3
943
Tumor
-0.3
498
Normal
-0.3
412
Normal
-0.3
483
Tumor
-0.4
516
Normal
-0.4
478
Normal
-0.4
433
Tumor
-0.4
873
Tumor
-0.4
211
Tumor
-0.4
271
Tumor
-0.4
977
Tumor
-0.4
356
Normal
-0.4
482
Normal
-0.4
387
Tumor
-0.4
431
Tumor
-0.4
494
Normal
-0.4
958
Normal
-0.4
484
Normal
-0.4
451
Tumor
-0.4
514
Normal
-0.4
721
Tumor
-0.4
227
Tumor
-0.4
528
Normal
-0.4
1042
Normal
-0.4
1014
Normal
-0.4
976
Normal
-0.4
413
Tumor
-0.4
944
Normal
-0.5
954
Normal
-0.5
953
Tumor
-0.5
123
Tumor
-0.5
534
Normal
-0.5
445
Tumor
-0.5
257
Tumor
-0.5
313
Tumor
-0.5
984
Normal
-0.5
1032
Normal
-0.5
926
Normal
-0.5
925
Tumor
-0.5
411
Tumor
-0.5
724
Normal
-0.5
231
Tumor
-0.5
355
Tumor
-0.5
161
Tumor
-0.5
477
Tumor
-0.5
727
Tumor
-0.6
865
Tumor
-0.6
267
Tumor
-0.6
443
Tumor
-0.6
1021
Tumor
-0.6
493
Tumor
-0.6
435
Tumor
-0.6
955
Tumor
-0.6
661
Tumor
-0.6
127
Tumor
-0.6
497
Tumor
-0.6
171
Tumor
-0.7
427
Tumor
-0.7
415
Tumor
-0.7
978
Normal
-0.7
357
Tumor
-0.7
523
Tumor
-0.8
537
Tumor
-0.8
1013
Tumor
-0.9
1031
Tumor
-0.9
957
Tumor
-0.9
524
Normal
-0.9
533
Tumor
-1.0
473
Tumor
-1.1
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.