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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.
TMSB4X is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1949.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
36513.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
12671.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11250.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
10845.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
9082.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
9005.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
7739.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
7573.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
7570.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
7549.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
6929.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
6865.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
6075.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
5824.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5589.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
5574.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
5384.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5295.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
5219.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
5164.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
5062.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5044.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4851.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4541.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4528.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4505.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4298.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4082.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
4065.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3948.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3907.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3736.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3699.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3568.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3523.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3474.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3333.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3316.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3259.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3247.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3227.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3206.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3179.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3161.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3118.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3110.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3109.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3048.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3040.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3011.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2991.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2984.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2977.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2955.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2945.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2944.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2875.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2832.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2829.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2803.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2795.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2716.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2662.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2647.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2637.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2601.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2592.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2590.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2518.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2517.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2506.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2496.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2490.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2489.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2478.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2461.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2448.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2431.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2431.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2413.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2345.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2341.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2314.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2311.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2309.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2288.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2274.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2265.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2262.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2257.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2254.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2243.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2217.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2195.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2190.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2159.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2146.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2133.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2113.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2104.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2084.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2073.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2046.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2040.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2033.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2014.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2007.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1999.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1988.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1982.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1957.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1955.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1947.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1918.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1896.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1890.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1884.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1884.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1872.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1852.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1847.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1833.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1826.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1824.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1820.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1818.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1810.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1766.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1761.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1750.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1743.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1737.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1731.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1724.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1720.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1718.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1707.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1698.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1697.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1689.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1684.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1644.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1633.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1611.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1608.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1596.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1592.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1576.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1570.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1567.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1561.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1550.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1547.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1540.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1533.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1527.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1520.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1508.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1506.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1498.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1496.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1492.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1489.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1482.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1479.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1475.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1470.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1461.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1459.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1449.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1442.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1410.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1394.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1388.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1386.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1380.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1377.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1377.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1376.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1370.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1369.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1366.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1365.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1362.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1350.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1346.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1344.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1333.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1315.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1304.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1296.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1286.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1284.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1278.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1271.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1271.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1271.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1264.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1262.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1255.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1252.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1252.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1245.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1241.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1237.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1232.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1229.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1223.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1220.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1214.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1214.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1210.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1206.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1176.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1172.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1169.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1166.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1163.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1163.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1160.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1148.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1144.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1132.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1125.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1120.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1116.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1114.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1110.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1106.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1097.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1075.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1068.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1067.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1060.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1059.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1054.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1052.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1044.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1039.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1032.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1031.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1028.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1017.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1017.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1016.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1013.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1008.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
995.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
990.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
973.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
969.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
969.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
963.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
960.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
956.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
951.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
948.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
947.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
947.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
931.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
919.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
919.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
919.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
910.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
902.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
898.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
893.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
884.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
881.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
876.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
870.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
865.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
861.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
857.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
856.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
855.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
845.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
841.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
840.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
837.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
833.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
833.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
832.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
826.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
823.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
816.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
814.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
813.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
802.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
798.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
796.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
792.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
790.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
782.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
780.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
770.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
761.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
760.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
743.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
731.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
725.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
706.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
704.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
700.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
700.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
698.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
695.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
694.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
694.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
684.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
668.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
664.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
649.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
633.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
631.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
631.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
630.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
617.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
609.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
607.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
600.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
588.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
583.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
577.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
566.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
566.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
554.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
554.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
539.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
538.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
533.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
525.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
523.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
520.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
508.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
487.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
482.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
473.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
473.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
473.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
463.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
457.4
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
452.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
446.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
437.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
422.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
418.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
417.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
415.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
414.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
406.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
384.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
375.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
372.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
360.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
305.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
289.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
283.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
269.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
223.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
215.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 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.
TMSB4X 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.
: 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
2087.9
Number of samples
231
Samples
Sample
Description
pTPM
DO45307
54 years, female, NA, stage:4, dead, 240 days
16422.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
13090.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
12738.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
12257.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
11449.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
10470.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
10385.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
8843.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
8726.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
8629.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
8477.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
8065.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
7080.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
6758.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
6463.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
6380.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
6119.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
6110.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
6031.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
5891.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5483.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
5383.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
5162.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
5064.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
4925.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
4621.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4350.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
4347.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
4086.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3986.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3881.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3765.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3637.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3504.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
3475.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
3266.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3114.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3104.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
3102.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3064.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
3019.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2877.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
2875.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
2829.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
2812.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
2795.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
2791.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2790.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
2759.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2688.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
2608.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
2534.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
2476.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
2475.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
2462.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2462.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
2455.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
2435.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2359.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
2295.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2272.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2232.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
2221.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
2218.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
2189.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
2167.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2097.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
2085.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2006.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
1997.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1935.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
1930.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1897.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
1894.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
1880.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
1859.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1846.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1813.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1791.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
1783.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1766.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
1750.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
1715.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
1705.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1698.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1692.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
1692.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
1655.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
1602.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1587.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1579.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
1526.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1522.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
1517.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1504.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
1502.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1487.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1456.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
1446.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1444.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1434.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1418.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
1417.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1378.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1374.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1372.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1370.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1365.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1343.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1335.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
1324.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
1306.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
1270.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1261.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
1238.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
1236.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1236.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1228.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
1170.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
1168.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
1161.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1149.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1141.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1137.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1136.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1073.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
1060.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1058.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
1040.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
1030.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1014.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1011.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
982.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
963.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
959.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
953.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
948.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
946.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
941.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
941.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
939.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
931.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
925.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
918.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
883.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
873.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
870.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
865.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
863.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
862.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
859.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
854.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
851.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
826.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
820.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
784.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
746.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
738.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
738.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
729.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
728.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
723.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
712.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
712.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
708.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
699.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
695.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
690.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
677.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
663.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
656.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
655.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
653.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
631.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
623.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
601.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
593.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
593.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
589.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
577.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
564.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
564.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
563.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
558.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
557.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
547.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
543.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
524.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
511.9
DO48733
72 years, male, NA, stage:2, alive, 600 days
508.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
501.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
500.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
493.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
462.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
459.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
454.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
449.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
440.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
437.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
434.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
429.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
418.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
412.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
407.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
371.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
362.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
359.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
352.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
334.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
330.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
327.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
323.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
322.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
310.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
308.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
297.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
294.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
286.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
280.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
279.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
267.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
241.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
233.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
227.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
213.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
205.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
197.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
156.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
77.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
67.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
66.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
211
Tumor
2.5
917
Tumor
2.4
943
Tumor
2.2
492
Normal
2.1
536
Normal
2.1
545
Tumor
2.1
478
Normal
2.0
975
Tumor
1.9
963
Tumor
1.9
978
Normal
1.9
524
Normal
1.8
283
Tumor
1.8
535
Tumor
1.8
498
Normal
1.8
916
Normal
1.7
538
Normal
1.7
966
Normal
1.7
447
Tumor
1.7
355
Tumor
1.7
525
Tumor
1.6
497
Tumor
1.6
661
Tumor
1.6
527
Tumor
1.5
493
Tumor
1.5
724
Normal
1.5
925
Tumor
1.5
516
Normal
1.5
823
Tumor
1.4
415
Tumor
1.4
861
Tumor
1.4
814
Normal
1.4
471
Tumor
1.4
857
Tumor
1.3
1031
Tumor
1.3
697
Tumor
1.3
1015
Tumor
1.3
363
Tumor
1.3
737
Tumor
1.3
553
Tumor
1.2
131
Tumor
1.2
473
Tumor
1.2
483
Tumor
1.2
515
Tumor
1.2
663
Tumor
1.2
491
Tumor
1.2
983
Tumor
1.2
1045
Tumor
1.2
778
Normal
1.1
958
Normal
1.1
817
Tumor
1.1
976
Normal
1.1
926
Normal
1.1
212
Normal
1.1
1028
Normal
1.1
913
Tumor
1.1
984
Normal
1.1
223
Tumor
1.1
918
Normal
1.1
952
Normal
1.1
851
Tumor
1.1
957
Tumor
1.1
852
Normal
1.1
921
Tumor
1.0
224
Normal
1.0
1044
Normal
1.0
716
Normal
1.0
364
Normal
1.0
494
Normal
1.0
1043
Tumor
1.0
863
Tumor
1.0
721
Tumor
1.0
937
Tumor
0.9
874
Normal
0.9
514
Normal
0.9
924
Normal
0.9
785
Tumor
0.9
923
Tumor
0.9
1014
Normal
0.9
528
Normal
0.9
328
Normal
0.9
968
Normal
0.9
461
Tumor
0.9
956
Normal
0.9
518
Normal
0.9
554
Normal
0.9
728
Normal
0.9
922
Normal
0.9
816
Normal
0.9
546
Normal
0.8
285
Tumor
0.8
727
Tumor
0.8
488
Normal
0.8
881
Tumor
0.8
1022
Normal
0.8
1042
Normal
0.8
1026
Normal
0.8
964
Normal
0.8
1027
Tumor
0.8
954
Normal
0.8
713
Tumor
0.8
686
Normal
0.8
982
Normal
0.8
474
Normal
0.8
873
Tumor
0.8
1032
Normal
0.8
951
Tumor
0.8
412
Normal
0.8
715
Tumor
0.8
472
Normal
0.8
284
Normal
0.8
563
Tumor
0.8
1025
Tumor
0.8
1016
Normal
0.7
482
Normal
0.7
685
Tumor
0.7
311
Tumor
0.7
868
Normal
0.7
813
Tumor
0.7
537
Tumor
0.7
526
Normal
0.7
533
Tumor
0.7
698
Normal
0.7
696
Normal
0.7
517
Tumor
0.7
866
Normal
0.7
938
Normal
0.6
416
Normal
0.6
484
Normal
0.6
448
Normal
0.6
723
Tumor
0.6
858
Normal
0.6
756
Normal
0.6
327
Tumor
0.6
944
Normal
0.6
965
Tumor
0.6
955
Tumor
0.6
915
Tumor
0.5
864
Normal
0.5
882
Normal
0.5
738
Normal
0.5
534
Normal
0.5
231
Tumor
0.5
1021
Tumor
0.5
481
Tumor
0.5
714
Normal
0.5
1046
Normal
0.5
786
Normal
0.5
1013
Tumor
0.4
777
Tumor
0.4
953
Tumor
0.4
824
Normal
0.4
862
Normal
0.4
477
Tumor
0.4
286
Normal
0.4
878
Normal
0.4
981
Tumor
0.4
356
Normal
0.4
513
Tumor
0.4
883
Tumor
0.3
695
Tumor
0.3
558
Normal
0.3
671
Tumor
0.3
228
Normal
0.3
1041
Tumor
0.3
745
Tumor
0.3
672
Normal
0.3
912
Normal
0.3
462
Normal
0.3
722
Normal
0.3
867
Tumor
0.3
573
Tumor
0.3
914
Normal
0.3
742
Normal
0.2
884
Normal
0.2
574
Normal
0.2
662
Normal
0.2
755
Tumor
0.2
967
Tumor
0.2
865
Tumor
0.2
744
Normal
0.2
746
Normal
0.2
815
Tumor
0.2
617
Tumor
0.1
572
Normal
0.1
818
Normal
0.1
557
Tumor
0.1
185
Tumor
0.1
977
Tumor
0.1
434
Normal
0.0
444
Normal
0.0
427
Tumor
0.0
192
Normal
0.0
664
Normal
0.0
523
Tumor
-0.1
213
Tumor
-0.1
297
Tumor
-0.1
142
Normal
-0.1
628
Normal
-0.2
188
Normal
-0.2
743
Tumor
-0.2
455
Tumor
-0.2
641
Tumor
-0.2
487
Tumor
-0.2
877
Tumor
-0.2
125
Tumor
-0.2
666
Normal
-0.2
135
Tumor
-0.2
395
Tumor
-0.2
262
Normal
-0.2
386
Normal
-0.3
227
Tumor
-0.3
343
Tumor
-0.3
568
Normal
-0.3
564
Normal
-0.3
162
Normal
-0.3
195
Tumor
-0.3
616
Normal
-0.4
272
Normal
-0.4
567
Tumor
-0.4
411
Tumor
-0.4
385
Tumor
-0.4
636
Normal
-0.4
362
Normal
-0.4
268
Normal
-0.4
312
Normal
-0.4
665
Tumor
-0.4
384
Normal
-0.5
383
Tumor
-0.5
911
Tumor
-0.5
141
Tumor
-0.5
618
Normal
-0.5
146
Normal
-0.5
257
Tumor
-0.5
145
Tumor
-0.5
627
Tumor
-0.6
137
Tumor
-0.6
648
Normal
-0.6
186
Normal
-0.6
396
Normal
-0.6
258
Normal
-0.6
126
Normal
-0.6
218
Normal
-0.7
114
Normal
-0.7
647
Tumor
-0.7
421
Tumor
-0.7
172
Normal
-0.7
388
Normal
-0.7
187
Tumor
-0.7
136
Normal
-0.7
138
Normal
-0.8
456
Normal
-0.8
148
Normal
-0.8
445
Tumor
-0.8
392
Normal
-0.8
642
Normal
-0.8
615
Tumor
-0.8
375
Tumor
-0.8
571
Tumor
-0.8
277
Tumor
-0.8
217
Tumor
-0.8
635
Tumor
-0.9
271
Tumor
-0.9
468
Normal
-0.9
394
Normal
-0.9
124
Normal
-0.9
365
Tumor
-0.9
431
Tumor
-0.9
432
Normal
-0.9
424
Normal
-0.9
232
Normal
-0.9
332
Normal
-0.9
426
Normal
-0.9
368
Normal
-0.9
191
Tumor
-1.0
366
Normal
-1.0
331
Tumor
-1.0
467
Tumor
-1.0
414
Normal
-1.0
451
Tumor
-1.0
413
Tumor
-1.0
422
Normal
-1.0
267
Tumor
-1.0
261
Tumor
-1.0
465
Tumor
-1.0
147
Tumor
-1.0
352
Normal
-1.0
161
Tumor
-1.1
214
Normal
-1.1
436
Normal
-1.1
376
Normal
-1.1
446
Normal
-1.1
387
Tumor
-1.1
466
Normal
-1.1
344
Normal
-1.1
463
Tumor
-1.1
393
Tumor
-1.1
391
Tumor
-1.2
433
Tumor
-1.2
464
Normal
-1.2
423
Tumor
-1.2
298
Normal
-1.3
278
Normal
-1.3
443
Tumor
-1.3
196
Normal
-1.3
314
Normal
-1.3
354
Normal
-1.3
361
Tumor
-1.4
428
Normal
-1.4
313
Tumor
-1.4
741
Tumor
-1.4
452
Normal
-1.4
221
Tumor
-1.5
222
Normal
-1.5
113
Tumor
-1.5
171
Tumor
-1.5
353
Tumor
-1.5
132
Normal
-1.6
342
Normal
-1.6
425
Tumor
-1.6
111
Normal
-1.6
367
Tumor
-1.6
358
Normal
-1.6
127
Tumor
-1.7
435
Tumor
-1.8
341
Tumor
-1.9
128
Normal
-1.9
112
Tumor
-1.9
123
Tumor
-2.0
351
Tumor
-2.1
357
Tumor
-2.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
