We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
AHSG 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.037
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.
53%
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.
42%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2018.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
12905.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
11786.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
11679.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
10833.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
9915.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
9271.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
9264.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
8310.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7967.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7358.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
6513.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
6382.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
6288.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
6104.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
5754.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
5377.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
5353.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
5301.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5222.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
5065.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
5043.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4907.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4850.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
4667.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4594.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4586.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4529.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4505.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4488.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4431.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4397.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4317.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
4309.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4162.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4109.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4071.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3993.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
3933.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3931.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3880.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3840.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3815.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3808.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3803.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3801.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3716.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
3699.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3690.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3680.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3637.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3621.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
3550.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3548.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3547.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3499.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3455.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3448.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3424.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
3408.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3392.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
3358.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3345.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3332.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3288.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3266.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3243.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3237.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3229.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3225.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3184.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3166.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3122.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3116.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
3090.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3072.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3063.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3049.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3030.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3024.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3014.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3005.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
3003.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2984.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2952.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2939.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2895.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2885.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2864.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2857.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2854.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2851.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2801.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2793.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2744.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2714.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2689.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2662.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2661.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2642.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2618.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2613.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2604.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2572.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2567.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2470.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2457.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2434.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2423.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
2409.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2394.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2380.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2373.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2369.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2362.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2305.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2301.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2293.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2281.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2215.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2201.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2191.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2189.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2188.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2182.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2181.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2174.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2162.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2125.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2115.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2112.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2107.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2093.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2068.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2038.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2025.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2016.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2006.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2002.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1997.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1997.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1996.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1995.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1979.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1956.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1950.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1928.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1905.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1888.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1885.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1880.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1870.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1867.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1851.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1850.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1848.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1843.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1819.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1811.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1808.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1804.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1796.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1793.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1786.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1780.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1768.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1764.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1763.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1752.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1743.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1739.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1730.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1722.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1675.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1657.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1635.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1634.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1626.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1620.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1615.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1613.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1606.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1600.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1591.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1580.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1548.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1546.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1524.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1523.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1506.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1503.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1465.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1449.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1447.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1442.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1431.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1421.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1406.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1393.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1377.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1355.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1350.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1340.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1335.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1313.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1307.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1307.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1303.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1302.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1289.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1287.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1285.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1283.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1279.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1266.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1266.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1265.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1262.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1261.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1252.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1250.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1236.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1235.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1228.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1207.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1206.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1202.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1183.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1151.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1135.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1125.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1123.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1113.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1100.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1096.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1087.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1084.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1079.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1065.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1059.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1045.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1036.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1034.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1018.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1005.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
960.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
958.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
934.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
916.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
902.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
901.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
901.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
899.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
894.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
878.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
875.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
871.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
871.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
869.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
852.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
833.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
825.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
822.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
822.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
811.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
806.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
805.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
798.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
777.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
770.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
766.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
760.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
753.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
747.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
745.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
733.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
713.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
708.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
694.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
689.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
688.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
685.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
674.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
665.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
665.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
656.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
643.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
638.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
637.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
634.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
604.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
577.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
572.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
563.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
530.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
515.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
506.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
504.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
504.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
463.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
438.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
426.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
419.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
417.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
405.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
381.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
375.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
323.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
320.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
317.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
292.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
287.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
277.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
268.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
266.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
239.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
235.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
225.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
222.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
217.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
209.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
190.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
177.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
163.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
158.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
156.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
153.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
141.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
140.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
138.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
135.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
122.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
109.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
89.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
80.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
72.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
68.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
58.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
48.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
40.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
37.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
23.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
17.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
14.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
12.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
5.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
4.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
0.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 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.
AHSG is not prognostic 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.037
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.
68%
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.
51%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2156.1
Number of samples
231
Samples
Sample
Description
TPM
DO48719
80 years, male, NA, stage:2, alive, 690 days
13174.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
12301.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
9062.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
7735.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
7571.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
7381.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
6728.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
6705.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
6388.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
6351.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
5656.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
5428.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
5400.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
5209.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
5205.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
5120.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5054.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
4919.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
4872.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
4793.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
4772.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
4729.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
4703.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
4699.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4662.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
4559.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
4498.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4369.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
4358.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
4343.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4241.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
4184.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
4155.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
4155.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
4113.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
4093.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
4087.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
3928.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
3808.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
3744.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3741.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3712.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3650.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
3639.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
3595.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
3580.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
3563.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
3502.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
3481.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3405.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3335.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
3332.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
3312.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
3298.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
3182.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
3171.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
3046.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
3043.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3040.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
3040.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
3020.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3000.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
2997.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
2991.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2956.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2930.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
2816.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2783.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
2776.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
2756.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
2746.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
2743.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2732.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
2687.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
2656.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
2596.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
2569.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2560.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
2555.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2554.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
2514.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2504.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2481.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
2461.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2457.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2425.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2398.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
2393.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
2328.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2281.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
2152.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
2123.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
2096.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
2078.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2076.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2065.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2054.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2053.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
2050.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
2037.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1990.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1989.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1985.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1921.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1919.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1910.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1908.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1895.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
1889.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1881.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1875.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1855.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1781.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1778.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
1745.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
1726.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1697.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1684.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
1578.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1576.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
1557.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
1547.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1543.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1460.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1450.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
1447.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
1441.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1427.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
1420.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1408.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
1390.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
1390.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
1382.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
1381.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
1368.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1328.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
1279.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
1270.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1263.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1237.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1218.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
1201.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
1189.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1150.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1125.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1109.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
1095.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1058.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1048.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1041.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
1034.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1021.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
976.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
954.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
945.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
923.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
913.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
912.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
909.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
909.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
906.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
897.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
882.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
786.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
758.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
758.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
754.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
746.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
722.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
691.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
684.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
671.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
670.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
657.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
649.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
576.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
571.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
545.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
539.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
532.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
531.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
522.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
510.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
505.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
497.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
492.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
465.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
449.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
430.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
426.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
398.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
357.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
300.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
291.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
284.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
283.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
277.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
254.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
211.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
205.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
203.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
178.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
162.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
144.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
143.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
112.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
100.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
98.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
85.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
80.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
79.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
72.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
32.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
29.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
26.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
24.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
11.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
11.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
5.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
5.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
3.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
2.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
0.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.5
363
Tumor
1.7
367
Tumor
1.3
743
Tumor
1.2
983
Tumor
1.2
815
Tumor
1.2
921
Tumor
1.1
343
Tumor
1.1
671
Tumor
1.1
192
Normal
1.0
817
Tumor
0.9
283
Tumor
0.9
425
Tumor
0.8
517
Tumor
0.8
785
Tumor
0.8
391
Tumor
0.8
967
Tumor
0.8
1041
Tumor
0.7
851
Tumor
0.7
665
Tumor
0.7
331
Tumor
0.7
535
Tumor
0.6
285
Tumor
0.6
217
Tumor
0.6
387
Tumor
0.6
813
Tumor
0.6
713
Tumor
0.6
471
Tumor
0.5
715
Tumor
0.5
975
Tumor
0.5
863
Tumor
0.5
545
Tumor
0.5
444
Normal
0.5
368
Normal
0.5
697
Tumor
0.4
112
Tumor
0.4
223
Tumor
0.4
737
Tumor
0.4
355
Tumor
0.4
1045
Tumor
0.4
553
Tumor
0.4
135
Tumor
0.4
375
Tumor
0.4
261
Tumor
0.4
455
Tumor
0.4
125
Tumor
0.4
695
Tumor
0.4
131
Tumor
0.4
365
Tumor
0.4
744
Normal
0.3
137
Tumor
0.3
227
Tumor
0.3
224
Normal
0.3
878
Normal
0.3
186
Normal
0.3
956
Normal
0.3
746
Normal
0.3
185
Tumor
0.3
741
Tumor
0.2
516
Normal
0.2
188
Normal
0.2
982
Normal
0.2
963
Tumor
0.2
474
Normal
0.2
384
Normal
0.2
951
Tumor
0.2
126
Normal
0.2
515
Tumor
0.2
777
Tumor
0.2
351
Tumor
0.2
191
Tumor
0.2
538
Normal
0.2
383
Tumor
0.2
221
Tumor
0.2
816
Normal
0.2
965
Tumor
0.2
523
Tumor
0.2
491
Tumor
0.2
685
Tumor
0.2
938
Normal
0.2
778
Normal
0.2
138
Normal
0.2
563
Tumor
0.1
421
Tumor
0.1
857
Tumor
0.1
124
Normal
0.1
311
Tumor
0.1
472
Normal
0.1
271
Tumor
0.1
666
Normal
0.1
615
Tumor
0.1
546
Normal
0.1
881
Tumor
0.1
924
Normal
0.1
1028
Normal
0.1
313
Tumor
0.1
915
Tumor
0.1
218
Normal
0.1
958
Normal
0.1
213
Tumor
0.1
327
Tumor
0.1
883
Tumor
0.1
874
Normal
0.1
1027
Tumor
0.1
195
Tumor
0.1
672
Normal
0.1
146
Normal
0.1
1042
Normal
0.1
463
Tumor
0.1
618
Normal
0.1
461
Tumor
0.1
852
Normal
0.1
113
Tumor
0.1
328
Normal
0.1
1031
Tumor
0.0
536
Normal
0.0
386
Normal
0.0
196
Normal
0.0
465
Tumor
0.0
824
Normal
0.0
366
Normal
0.0
823
Tumor
0.0
416
Normal
0.0
884
Normal
0.0
513
Tumor
0.0
966
Normal
0.0
917
Tumor
0.0
647
Tumor
0.0
464
Normal
0.0
136
Normal
0.0
187
Tumor
0.0
574
Normal
0.0
663
Tumor
0.0
142
Normal
0.0
1021
Tumor
0.0
696
Normal
0.0
641
Tumor
0.0
727
Tumor
0.0
312
Normal
0.0
257
Tumor
0.0
818
Normal
0.0
214
Normal
0.0
431
Tumor
0.0
114
Normal
0.0
981
Tumor
0.0
814
Normal
0.0
393
Tumor
0.0
957
Tumor
0.0
388
Normal
0.0
148
Normal
0.0
686
Normal
0.0
722
Normal
0.0
514
Normal
0.0
525
Tumor
0.0
968
Normal
0.0
415
Tumor
0.0
953
Tumor
0.0
882
Normal
0.0
483
Tumor
0.0
385
Tumor
0.0
1046
Normal
-0.1
964
Normal
-0.1
922
Normal
-0.1
716
Normal
-0.1
297
Tumor
-0.1
745
Tumor
-0.1
627
Tumor
-0.1
1022
Normal
-0.1
567
Tumor
-0.1
452
Normal
-0.1
132
Normal
-0.1
858
Normal
-0.1
111
Normal
-0.1
1032
Normal
-0.1
228
Normal
-0.1
537
Tumor
-0.1
332
Normal
-0.1
395
Tumor
-0.1
914
Normal
-0.1
1044
Normal
-0.1
424
Normal
-0.1
412
Normal
-0.1
411
Tumor
-0.1
738
Normal
-0.1
364
Normal
-0.1
272
Normal
-0.1
396
Normal
-0.1
362
Normal
-0.1
284
Normal
-0.1
568
Normal
-0.2
916
Normal
-0.2
868
Normal
-0.2
268
Normal
-0.2
977
Tumor
-0.2
648
Normal
-0.2
573
Tumor
-0.2
428
Normal
-0.2
434
Normal
-0.2
492
Normal
-0.2
976
Normal
-0.2
456
Normal
-0.2
554
Normal
-0.2
361
Tumor
-0.2
728
Normal
-0.2
984
Normal
-0.2
534
Normal
-0.2
954
Normal
-0.2
698
Normal
-0.2
952
Normal
-0.2
911
Tumor
-0.2
356
Normal
-0.2
147
Tumor
-0.2
526
Normal
-0.2
447
Tumor
-0.2
145
Tumor
-0.2
498
Normal
-0.2
518
Normal
-0.2
314
Normal
-0.2
341
Tumor
-0.2
262
Normal
-0.2
394
Normal
-0.2
923
Tumor
-0.2
342
Normal
-0.2
944
Normal
-0.2
128
Normal
-0.2
162
Normal
-0.2
277
Tumor
-0.2
1025
Tumor
-0.2
354
Normal
-0.2
617
Tumor
-0.2
141
Tumor
-0.2
862
Normal
-0.2
222
Normal
-0.3
918
Normal
-0.3
742
Normal
-0.3
432
Normal
-0.3
433
Tumor
-0.3
468
Normal
-0.3
422
Normal
-0.3
662
Normal
-0.3
755
Tumor
-0.3
278
Normal
-0.3
462
Normal
-0.3
172
Normal
-0.3
286
Normal
-0.3
258
Normal
-0.3
571
Tumor
-0.3
1026
Normal
-0.3
714
Normal
-0.3
448
Normal
-0.3
451
Tumor
-0.3
1043
Tumor
-0.3
392
Normal
-0.3
212
Normal
-0.3
1016
Normal
-0.3
527
Tumor
-0.3
664
Normal
-0.3
376
Normal
-0.3
756
Normal
-0.3
943
Tumor
-0.3
873
Tumor
-0.3
466
Normal
-0.3
786
Normal
-0.3
572
Normal
-0.3
866
Normal
-0.3
864
Normal
-0.3
211
Tumor
-0.3
564
Normal
-0.3
426
Normal
-0.3
1014
Normal
-0.3
723
Tumor
-0.3
616
Normal
-0.3
443
Tumor
-0.4
232
Normal
-0.4
484
Normal
-0.4
955
Tumor
-0.4
912
Normal
-0.4
494
Normal
-0.4
642
Normal
-0.4
524
Normal
-0.4
661
Tumor
-0.4
123
Tumor
-0.4
1015
Tumor
-0.4
344
Normal
-0.4
436
Normal
-0.4
358
Normal
-0.4
473
Tumor
-0.4
497
Tumor
-0.4
937
Tumor
-0.4
861
Tumor
-0.4
478
Normal
-0.4
487
Tumor
-0.4
867
Tumor
-0.4
435
Tumor
-0.4
926
Normal
-0.4
467
Tumor
-0.4
446
Normal
-0.4
724
Normal
-0.4
171
Tumor
-0.4
353
Tumor
-0.5
721
Tumor
-0.5
477
Tumor
-0.5
352
Normal
-0.5
298
Normal
-0.5
481
Tumor
-0.5
423
Tumor
-0.5
635
Tumor
-0.5
978
Normal
-0.5
445
Tumor
-0.5
488
Normal
-0.5
414
Normal
-0.5
533
Tumor
-0.5
558
Normal
-0.5
413
Tumor
-0.5
913
Tumor
-0.5
493
Tumor
-0.5
267
Tumor
-0.5
161
Tumor
-0.5
636
Normal
-0.6
482
Normal
-0.6
127
Tumor
-0.6
628
Normal
-0.6
357
Tumor
-0.6
865
Tumor
-0.7
557
Tumor
-0.7
528
Normal
-0.7
925
Tumor
-0.7
1013
Tumor
-0.7
231
Tumor
-0.8
427
Tumor
-0.8
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.