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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.
UBB 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
1548.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
4098.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3123.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3116.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3080.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3033.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3019.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3015.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2981.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2965.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2900.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2885.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2840.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2813.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2750.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2737.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2680.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2663.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2581.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2553.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2540.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2534.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2525.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2515.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2492.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2465.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2434.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2369.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2343.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2336.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2335.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2330.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2323.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2317.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2293.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2287.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2286.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2269.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2267.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2258.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2256.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2252.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2230.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2225.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2221.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2214.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2200.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2182.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2180.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2169.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2167.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2165.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2158.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2157.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2156.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2145.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2145.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2143.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2124.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2112.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2097.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2084.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2081.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2054.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2041.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2032.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2028.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2028.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2020.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2019.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1987.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1982.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1972.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1970.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1965.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1958.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1957.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1956.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1951.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1948.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1942.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1942.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1942.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1940.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1938.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1937.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1934.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1928.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1907.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1895.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1887.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1885.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1883.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1881.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1869.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1864.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1862.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1858.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1847.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1840.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1833.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1821.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1808.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1808.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1791.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1787.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1786.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1784.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1781.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1776.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1771.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1766.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1764.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1751.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1749.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1746.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1738.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1737.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1731.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1730.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1719.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1716.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1713.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1695.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1689.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1684.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1684.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1668.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1666.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1661.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1661.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1658.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1653.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1653.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1652.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1651.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1639.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1637.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1634.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1621.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1620.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1619.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1613.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1604.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1600.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1597.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1593.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1593.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1575.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1571.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1571.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1562.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1550.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1549.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1538.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1535.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1530.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1526.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1523.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1523.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1523.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1520.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1516.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1513.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1507.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1502.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1502.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1499.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1498.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1493.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1491.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1491.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1488.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1488.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1484.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1472.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1471.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1465.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1463.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1462.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1461.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1460.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1459.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1448.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1447.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1441.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1440.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1437.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1434.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1433.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1432.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1421.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1419.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1414.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1412.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1411.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1410.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1410.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1407.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1404.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1403.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1402.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1398.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1396.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1391.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1389.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1387.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1382.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1381.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1380.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1380.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1379.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1377.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1373.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1372.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1370.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1361.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1357.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1356.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1349.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1346.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1342.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1341.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1341.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1337.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1330.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1324.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1323.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1320.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1320.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1316.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1313.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1310.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1308.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1305.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1296.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1289.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1283.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1280.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1279.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1276.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1271.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1268.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1264.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1254.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1248.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1245.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1241.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1241.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1239.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1237.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1236.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1235.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1233.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1232.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1231.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1230.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1223.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1222.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1213.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1208.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1205.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1201.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1200.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1194.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1184.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1183.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1172.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1172.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1168.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1167.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1164.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1164.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1160.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1159.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1158.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1154.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1147.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1145.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1143.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1142.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1141.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1141.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1134.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1134.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1132.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1123.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1123.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1123.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1121.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1118.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1115.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1115.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1109.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1106.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1105.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1104.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1103.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1086.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1081.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1070.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1066.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1065.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1054.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1040.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1037.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1031.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1025.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1013.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1008.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1002.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
981.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
974.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
969.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
968.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
966.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
960.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
957.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
954.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
951.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
947.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
944.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
940.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
939.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
934.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
931.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
921.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
920.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
902.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
879.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
877.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
848.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
847.5
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
843.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
837.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
836.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
827.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
797.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
791.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
785.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
779.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
765.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
744.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
740.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
737.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
732.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
724.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
720.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
705.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
698.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
698.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
695.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
681.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
639.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
618.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
594.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
576.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
571.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
555.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
510.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
399.7
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.
UBB 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
1348.4
Number of samples
231
Samples
Sample
Description
pTPM
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4497.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
3552.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
3170.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
3089.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
2911.6
DO48695
77 years, male, NA, stage:2, alive, 720 days
2633.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
2625.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
2603.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2595.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
2565.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
2493.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2458.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
2434.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2423.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
2348.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2328.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2313.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2307.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2218.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
2207.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2173.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
2169.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
2162.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2160.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
2128.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2120.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2095.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
2080.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2079.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
2071.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
2040.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2028.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
2017.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1983.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
1977.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1921.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1912.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
1880.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
1865.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
1821.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
1811.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1778.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1769.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
1762.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
1762.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
1756.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
1750.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
1747.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
1732.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1692.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
1665.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1659.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1654.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1651.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
1640.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1629.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1620.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1611.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
1587.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
1585.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1581.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1579.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1565.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
1556.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
1551.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1549.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
1543.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1538.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1531.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1529.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1518.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
1507.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1503.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
1491.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1483.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1483.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
1482.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
1480.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
1478.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
1465.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1461.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1454.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
1429.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
1426.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1421.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1419.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
1419.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
1411.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1409.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
1408.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
1402.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1393.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
1387.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1385.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
1366.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1365.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1353.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1353.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
1344.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1342.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1337.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1332.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1326.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1321.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1312.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1310.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
1303.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1301.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1301.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1298.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1295.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1289.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1280.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1265.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1241.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
1239.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1230.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1227.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1222.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1205.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1204.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1199.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
1177.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1174.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
1171.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1165.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1165.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
1161.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1160.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
1157.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1143.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
1137.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1128.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
1126.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1122.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
1117.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1117.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
1113.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1101.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1101.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
1098.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
1094.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
1092.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1086.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1083.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1080.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
1065.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1063.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
1058.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1056.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1048.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
1044.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1041.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1024.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1024.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
1023.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
1014.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1014.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
996.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
996.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
992.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
990.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
988.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
986.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
961.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
954.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
952.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
949.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
944.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
941.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
938.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
938.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
937.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
936.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
934.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
930.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
930.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
926.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
921.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
921.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
919.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
915.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
911.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
909.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
905.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
902.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
900.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
876.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
864.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
860.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
859.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
848.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
842.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
841.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
840.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
835.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
834.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
824.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
818.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
816.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
815.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
814.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
811.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
811.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
804.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
796.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
796.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
778.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
776.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
752.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
714.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
709.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
700.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
665.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
661.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
633.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
631.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
629.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
626.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
614.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
570.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
512.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
492.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
445.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
426.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
396.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
377.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
370.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
300.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
231.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
215.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
471
Tumor
N/A
351
Tumor
N/A
472
Normal
N/A
231
Tumor
N/A
352
Normal
N/A
473
Tumor
N/A
111
Normal
N/A
232
Normal
N/A
353
Tumor
N/A
474
Normal
N/A
112
Tumor
N/A
354
Normal
N/A
113
Tumor
N/A
355
Tumor
N/A
114
Normal
N/A
356
Normal
N/A
477
Tumor
N/A
357
Tumor
N/A
478
Normal
N/A
358
Normal
N/A
911
Tumor
N/A
912
Normal
N/A
913
Tumor
N/A
914
Normal
N/A
915
Tumor
N/A
916
Normal
N/A
917
Tumor
N/A
918
Normal
N/A
481
Tumor
N/A
361
Tumor
N/A
482
Normal
N/A
362
Normal
N/A
483
Tumor
N/A
363
Tumor
N/A
484
Normal
N/A
364
Normal
N/A
123
Tumor
N/A
365
Tumor
N/A
124
Normal
N/A
366
Normal
N/A
487
Tumor
N/A
125
Tumor
N/A
367
Tumor
N/A
488
Normal
N/A
126
Normal
N/A
368
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
921
Tumor
N/A
922
Normal
N/A
923
Tumor
N/A
924
Normal
N/A
925
Tumor
N/A
926
Normal
N/A
491
Tumor
N/A
492
Normal
N/A
493
Tumor
N/A
131
Tumor
N/A
494
Normal
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
497
Tumor
N/A
135
Tumor
N/A
498
Normal
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
813
Tumor
N/A
814
Normal
N/A
815
Tumor
N/A
816
Normal
N/A
937
Tumor
N/A
817
Tumor
N/A
938
Normal
N/A
818
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
147
Tumor
N/A
268
Normal
N/A
148
Normal
N/A
943
Tumor
N/A
823
Tumor
N/A
944
Normal
N/A
824
Normal
N/A
1022
Normal
N/A
1021
Tumor
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
277
Tumor
N/A
1016
Normal
N/A
278
Normal
N/A
1015
Tumor
N/A
1014
Normal
N/A
951
Tumor
N/A
1013
Tumor
N/A
952
Normal
N/A
953
Tumor
N/A
954
Normal
N/A
713
Tumor
N/A
955
Tumor
N/A
714
Normal
N/A
956
Normal
N/A
715
Tumor
N/A
957
Tumor
N/A
716
Normal
N/A
958
Normal
N/A
1032
Normal
N/A
1031
Tumor
N/A
161
Tumor
N/A
162
Normal
N/A
283
Tumor
N/A
284
Normal
N/A
285
Tumor
N/A
286
Normal
N/A
1028
Normal
N/A
1027
Tumor
N/A
1026
Normal
N/A
1025
Tumor
N/A
721
Tumor
N/A
963
Tumor
N/A
722
Normal
N/A
964
Normal
N/A
723
Tumor
N/A
965
Tumor
N/A
724
Normal
N/A
966
Normal
N/A
967
Tumor
N/A
968
Normal
N/A
727
Tumor
N/A
728
Normal
N/A
1044
Normal
N/A
1043
Tumor
N/A
1042
Normal
N/A
1041
Tumor
N/A
171
Tumor
N/A
172
Normal
N/A
297
Tumor
N/A
298
Normal
N/A
851
Tumor
N/A
852
Normal
N/A
975
Tumor
N/A
976
Normal
N/A
977
Tumor
N/A
615
Tumor
N/A
857
Tumor
N/A
978
Normal
N/A
616
Normal
N/A
737
Tumor
N/A
858
Normal
N/A
617
Tumor
N/A
738
Normal
N/A
618
Normal
N/A
185
Tumor
N/A
186
Normal
N/A
187
Tumor
N/A
188
Normal
N/A
981
Tumor
N/A
861
Tumor
N/A
982
Normal
N/A
741
Tumor
N/A
862
Normal
N/A
983
Tumor
N/A
742
Normal
N/A
863
Tumor
N/A
984
Normal
N/A
1046
Normal
N/A
743
Tumor
N/A
864
Normal
N/A
1045
Tumor
N/A
744
Normal
N/A
865
Tumor
N/A
745
Tumor
N/A
866
Normal
N/A
746
Normal
N/A
867
Tumor
N/A
868
Normal
N/A
627
Tumor
N/A
628
Normal
N/A
191
Tumor
N/A
192
Normal
N/A
195
Tumor
N/A
196
Normal
N/A
873
Tumor
N/A
874
Normal
N/A
513
Tumor
N/A
755
Tumor
N/A
514
Normal
N/A
635
Tumor
N/A
756
Normal
N/A
877
Tumor
N/A
515
Tumor
N/A
636
Normal
N/A
878
Normal
N/A
516
Normal
N/A
517
Tumor
N/A
518
Normal
N/A
881
Tumor
N/A
882
Normal
N/A
641
Tumor
N/A
883
Tumor
N/A
642
Normal
N/A
884
Normal
N/A
523
Tumor
N/A
524
Normal
N/A
525
Tumor
N/A
526
Normal
N/A
647
Tumor
N/A
527
Tumor
N/A
648
Normal
N/A
528
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
533
Tumor
N/A
413
Tumor
N/A
534
Normal
N/A
414
Normal
N/A
535
Tumor
N/A
777
Tumor
N/A
415
Tumor
N/A
536
Normal
N/A
778
Normal
N/A
416
Normal
N/A
537
Tumor
N/A
538
Normal
N/A
661
Tumor
N/A
662
Normal
N/A
421
Tumor
N/A
663
Tumor
N/A
422
Normal
N/A
664
Normal
N/A
785
Tumor
N/A
423
Tumor
N/A
665
Tumor
N/A
786
Normal
N/A
424
Normal
N/A
545
Tumor
N/A
666
Normal
N/A
425
Tumor
N/A
546
Normal
N/A
426
Normal
N/A
427
Tumor
N/A
428
Normal
N/A
671
Tumor
N/A
672
Normal
N/A
431
Tumor
N/A
311
Tumor
N/A
432
Normal
N/A
553
Tumor
N/A
312
Normal
N/A
433
Tumor
N/A
554
Normal
N/A
313
Tumor
N/A
434
Normal
N/A
314
Normal
N/A
435
Tumor
N/A
436
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
443
Tumor
N/A
564
Normal
N/A
685
Tumor
N/A
444
Normal
N/A
686
Normal
N/A
445
Tumor
N/A
446
Normal
N/A
567
Tumor
N/A
447
Tumor
N/A
568
Normal
N/A
327
Tumor
N/A
448
Normal
N/A
328
Normal
N/A
571
Tumor
N/A
451
Tumor
N/A
572
Normal
N/A
331
Tumor
N/A
452
Normal
N/A
573
Tumor
N/A
211
Tumor
N/A
332
Normal
N/A
574
Normal
N/A
695
Tumor
N/A
212
Normal
N/A
696
Normal
N/A
213
Tumor
N/A
455
Tumor
N/A
697
Tumor
N/A
214
Normal
N/A
456
Normal
N/A
698
Normal
N/A
217
Tumor
N/A
218
Normal
N/A
461
Tumor
N/A
341
Tumor
N/A
462
Normal
N/A
221
Tumor
N/A
342
Normal
N/A
463
Tumor
N/A
222
Normal
N/A
343
Tumor
N/A
464
Normal
N/A
223
Tumor
N/A
344
Normal
N/A
465
Tumor
N/A
224
Normal
N/A
466
Normal
N/A
467
Tumor
N/A
468
Normal
N/A
227
Tumor
N/A
228
Normal
N/A
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
