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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 TPM
1636.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
29993.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
10342.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
8870.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8566.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
7556.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
7406.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
6484.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
6306.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
6122.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5906.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5884.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
5611.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
5132.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4837.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
4735.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
4621.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
4612.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4513.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
4348.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4305.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
4279.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4170.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4076.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3809.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3766.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3674.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3617.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3442.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3381.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3346.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3167.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3121.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2984.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2932.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2868.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2829.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2800.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2795.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2784.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2733.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2726.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2689.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2677.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2656.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2639.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2623.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2580.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2555.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2544.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2478.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2467.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2461.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2460.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2450.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2448.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2424.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2418.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2399.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2363.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2352.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2315.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2278.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2272.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2250.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2229.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2219.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2210.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2197.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2193.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2124.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2117.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2114.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2092.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2084.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2081.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2068.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2063.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2054.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2047.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2001.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1987.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1978.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1977.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1963.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1939.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1938.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1935.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1934.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1911.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1896.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1887.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1880.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1872.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1860.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1850.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1835.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1823.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1814.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1798.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1797.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1790.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1779.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1773.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1767.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1757.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1726.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1698.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1693.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1687.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1680.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1667.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1666.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1660.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1651.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1636.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1622.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1607.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1607.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1587.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1580.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1577.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1566.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1519.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1517.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1515.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1503.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1501.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1497.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1494.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1483.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1469.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1468.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1453.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1453.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1451.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1437.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1435.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1431.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1421.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1417.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1416.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1412.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1397.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1392.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1390.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1389.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1375.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1339.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1335.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1335.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1323.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1318.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1318.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1315.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1314.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1304.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1302.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1302.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1297.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1294.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1292.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1290.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1284.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1268.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1267.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1265.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1253.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1251.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1228.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1219.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1219.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1216.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1211.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1211.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1194.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1192.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1189.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1188.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1183.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1177.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1171.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1163.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1148.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1147.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1134.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1134.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1128.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1121.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1119.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1112.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1104.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1102.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1101.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1094.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1086.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1084.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1079.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1072.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1060.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1056.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1056.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1054.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1050.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1045.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1038.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1032.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1027.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1027.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1024.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1023.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1011.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1003.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1001.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1001.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1000.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
995.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
991.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
983.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
981.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
981.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
975.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
971.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
956.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
948.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
944.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
939.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
939.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
938.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
928.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
924.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
924.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
919.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
916.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
910.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
908.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
903.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
891.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
877.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
877.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
870.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
864.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
863.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
856.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
845.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
844.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
841.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
837.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
837.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
837.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
835.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
827.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
823.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
819.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
819.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
812.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
809.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
808.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
800.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
794.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
794.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
785.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
785.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
780.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
776.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
775.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
775.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
769.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
762.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
762.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
761.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
754.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
749.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
746.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
737.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
734.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
734.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
732.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
729.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
724.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
723.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
720.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
710.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
706.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
705.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
704.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
702.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
702.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
698.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
696.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
689.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
673.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
672.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
661.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
657.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
653.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
649.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
645.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
643.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
621.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
621.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
617.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
604.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
602.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
602.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
600.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
597.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
597.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
583.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
575.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
570.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
570.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
552.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
544.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
539.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
537.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
530.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
529.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
529.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
524.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
523.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
518.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
518.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
501.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
498.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
493.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
479.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
476.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
473.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
472.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
463.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
459.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
455.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
440.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
439.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
425.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
416.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
412.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
411.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
404.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
404.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
402.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
402.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
389.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
378.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
375.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
365.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
365.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
363.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
360.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
355.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
344.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
333.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
316.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
316.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
315.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
276.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
246.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
244.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
239.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
196.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
185.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 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 TPM
1189.6
Number of samples
231
Samples
Sample
Description
TPM
DO45307
54 years, female, NA, stage:4, dead, 240 days
9774.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
7442.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
6713.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6385.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
6323.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
5872.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
5574.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
5141.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
5079.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
4495.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
4429.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
4271.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
4165.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
3911.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3406.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
3238.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3211.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
3178.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
3127.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
3093.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3087.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2950.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
2872.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
2567.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
2499.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
2497.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2458.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
2305.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
2259.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2226.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2139.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2098.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1945.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
1933.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1933.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1915.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1818.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1797.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1772.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
1768.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
1767.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1756.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
1751.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1721.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1721.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
1720.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
1716.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1567.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1566.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1547.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1530.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
1493.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1467.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
1400.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
1399.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
1390.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1365.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1357.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1346.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1344.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1343.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
1296.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
1293.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1289.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1271.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1260.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
1255.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1210.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1191.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
1190.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
1174.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
1171.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1157.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1142.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1131.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1124.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
1120.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1113.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
1106.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1102.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
1091.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
1089.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
1067.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1054.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
1052.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
993.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
969.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
946.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
942.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
935.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
926.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
913.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
908.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
886.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
886.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
852.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
842.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
836.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
830.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
829.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
821.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
816.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
814.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
802.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
797.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
794.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
780.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
771.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
758.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
747.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
744.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
738.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
737.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
731.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
720.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
717.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
701.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
689.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
684.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
684.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
683.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
680.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
670.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
666.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
663.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
662.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
648.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
641.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
638.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
637.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
635.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
625.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
621.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
620.0
DO23531
78 years, female, NA, stage:3, alive, 900 days
600.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
591.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
580.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
572.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
567.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
565.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
563.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
562.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
560.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
558.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
546.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
542.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
534.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
533.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
532.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
525.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
519.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
508.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
498.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
496.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
482.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
481.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
475.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
474.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
470.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
465.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
464.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
461.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
453.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
447.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
428.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
425.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
419.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
409.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
398.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
396.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
396.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
388.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
386.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
364.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
364.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
362.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
361.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
357.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
356.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
355.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
350.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
347.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
345.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
338.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
337.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
332.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
324.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
315.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
313.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
313.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
307.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
297.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
296.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
292.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
288.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
283.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
280.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
270.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
270.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
269.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
267.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
260.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
239.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
238.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
225.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
224.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
223.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
222.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
207.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
202.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
196.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
196.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
186.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
185.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
185.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
183.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
181.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
172.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
170.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
163.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
150.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
131.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
127.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
124.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
121.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
121.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
114.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
96.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
51.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
45.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
44.8
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
