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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.
KNG1 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1355.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
5274.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
5151.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
5092.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4896.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4726.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4697.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4604.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
4483.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4454.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
4376.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4050.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
4001.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
3662.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3619.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3588.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3494.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3476.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3452.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3316.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3286.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3277.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3246.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3235.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3108.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3096.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2931.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2926.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2888.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2867.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2831.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2733.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2707.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2691.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2631.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2625.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2613.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2577.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2572.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
2546.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2530.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2518.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2508.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2496.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2488.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2482.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2472.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2442.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2416.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2364.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2345.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2342.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2341.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2339.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2332.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2315.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2313.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2270.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2267.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2258.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2257.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2228.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2192.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2182.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2173.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2154.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2153.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2139.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2127.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2109.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2105.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2090.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2088.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2085.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2076.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2065.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2057.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
2054.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1988.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1959.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1913.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1908.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1908.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1907.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1905.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1905.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1864.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1860.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1857.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1844.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1837.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1803.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1795.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1781.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1751.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1740.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1738.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1731.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1731.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1728.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1725.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1716.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1687.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1679.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1661.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1654.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1624.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1621.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1620.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1613.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1612.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1594.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1593.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1590.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1579.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1569.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1561.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1553.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1549.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1542.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1534.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1521.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1521.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1508.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1504.8
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1496.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1484.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1472.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1463.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1456.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1446.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1435.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1426.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1425.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1417.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1405.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1393.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1391.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1386.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1380.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1378.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1375.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1367.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1345.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1344.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1339.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1337.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1334.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1332.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1331.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1331.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1327.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1310.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1309.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1303.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1300.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1288.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1286.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1277.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1267.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1262.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1261.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1258.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1252.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1249.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1245.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1243.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1233.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1232.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1229.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1215.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1213.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1208.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1207.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1198.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1194.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1194.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1189.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1189.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1180.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1171.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1166.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1160.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1149.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1145.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1141.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1133.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1131.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1125.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1115.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1112.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1105.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1096.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1093.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1083.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1082.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1077.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1076.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1073.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1069.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1066.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1061.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1058.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1052.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1048.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1044.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1041.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1027.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1024.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1022.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1016.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1012.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1010.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1005.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1003.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
999.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
993.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
992.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
989.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
986.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
982.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
980.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
976.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
975.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
973.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
966.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
964.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
960.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
960.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
953.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
949.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
927.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
926.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
923.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
918.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
917.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
915.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
913.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
908.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
899.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
894.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
893.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
875.6
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
873.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
850.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
848.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
847.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
847.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
842.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
839.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
832.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
825.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
815.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
812.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
808.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
788.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
788.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
776.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
769.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
766.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
763.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
758.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
733.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
731.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
731.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
712.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
699.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
694.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
676.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
666.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
661.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
660.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
648.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
645.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
639.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
635.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
619.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
619.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
613.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
609.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
599.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
598.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
597.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
588.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
578.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
565.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
564.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
562.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
557.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
554.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
549.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
535.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
530.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
478.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
473.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
460.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
450.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
447.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
444.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
433.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
415.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
391.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
389.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
379.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
377.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
375.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
363.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
359.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
354.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
341.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
340.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
330.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
330.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
308.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
299.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
297.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
295.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
288.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
275.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
268.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
263.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
259.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
248.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
232.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
231.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
225.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
222.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
220.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
218.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
215.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
207.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
203.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
202.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
158.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
151.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
141.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
137.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
123.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
119.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
116.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
102.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
100.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
74.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
67.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
67.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
66.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
54.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
54.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
53.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
51.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
39.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
29.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
20.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
18.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
18.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
9.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
KNG1 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1971.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45237
58 years, male, NA, stage:2, alive, 900 days
9780.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
6574.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
6513.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
5644.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
5511.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
5467.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
4979.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
4966.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4952.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
4733.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
4733.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
4596.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
4349.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
4171.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4163.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
4137.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
4110.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
4103.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4097.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
4013.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3986.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
3970.1
DO23550
69 years, male, NA, stage:1, alive, 990 days
3969.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
3878.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3846.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3813.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3807.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
3669.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3633.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3631.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
3572.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
3443.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
3428.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
3311.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3296.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3285.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
3230.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
3160.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3159.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3142.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3076.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
3056.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3042.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
3027.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3015.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
3005.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2915.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2914.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
2909.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2891.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
2888.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
2881.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2875.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
2861.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
2850.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2787.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2756.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2756.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
2745.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
2726.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
2660.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
2658.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
2641.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
2627.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2551.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2546.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
2529.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
2517.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
2510.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2498.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
2477.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
2471.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
2467.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
2449.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
2404.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
2393.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
2392.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
2375.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
2353.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2321.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
2318.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
2295.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
2282.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
2230.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
2222.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2165.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
2162.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
2162.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
2162.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
2130.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
2127.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2111.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
2104.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2083.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
2074.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
2046.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2039.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2021.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1995.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1960.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1957.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
1936.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
1924.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1919.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1906.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1893.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1889.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1856.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1854.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1847.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1842.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1838.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1823.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
1815.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
1806.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1805.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1789.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
1756.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
1753.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1747.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1726.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
1724.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1715.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1698.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1681.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
1676.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
1674.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1663.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1643.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1635.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1623.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1593.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
1589.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
1558.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1527.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1516.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
1508.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1507.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1505.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
1500.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1496.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1485.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1469.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1454.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
1444.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
1424.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
1402.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1400.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
1393.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1387.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1386.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1384.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
1350.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1313.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
1298.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
1297.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1295.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1270.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1229.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1214.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
1211.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1197.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1191.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
1190.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
1162.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1153.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1143.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
1121.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
1016.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
979.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
978.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
970.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
957.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
925.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
906.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
892.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
876.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
875.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
859.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
853.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
846.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
842.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
834.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
832.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
828.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
826.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
774.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
753.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
620.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
615.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
599.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
530.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
518.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
491.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
451.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
443.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
429.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
428.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
415.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
377.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
371.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
317.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
266.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
202.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
181.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
172.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
165.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
153.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
150.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
113.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
110.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
80.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
54.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
34.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
32.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
30.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
23.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
20.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
15.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
7.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
6.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
4.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
2.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
1.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
2.4
863
Tumor
2.1
877
Tumor
2.0
921
Tumor
1.4
777
Tumor
1.4
343
Tumor
1.4
363
Tumor
1.4
487
Tumor
1.3
1027
Tumor
1.3
131
Tumor
1.1
743
Tumor
1.1
785
Tumor
1.1
523
Tumor
1.1
697
Tumor
1.0
741
Tumor
1.0
112
Tumor
0.9
355
Tumor
0.9
517
Tumor
0.9
393
Tumor
0.8
227
Tumor
0.8
1041
Tumor
0.8
813
Tumor
0.7
817
Tumor
0.7
1045
Tumor
0.7
953
Tumor
0.7
471
Tumor
0.7
647
Tumor
0.7
977
Tumor
0.6
737
Tumor
0.6
967
Tumor
0.6
1028
Normal
0.6
713
Tumor
0.6
553
Tumor
0.6
924
Normal
0.6
727
Tumor
0.6
778
Normal
0.5
975
Tumor
0.5
695
Tumor
0.5
192
Normal
0.5
671
Tumor
0.5
257
Tumor
0.5
283
Tumor
0.5
491
Tumor
0.5
545
Tumor
0.5
755
Tumor
0.5
365
Tumor
0.5
223
Tumor
0.5
1025
Tumor
0.4
881
Tumor
0.4
538
Normal
0.4
431
Tumor
0.4
963
Tumor
0.4
515
Tumor
0.4
1043
Tumor
0.4
498
Normal
0.4
915
Tumor
0.4
615
Tumor
0.4
746
Normal
0.4
527
Tumor
0.4
375
Tumor
0.4
883
Tumor
0.4
261
Tumor
0.4
525
Tumor
0.3
461
Tumor
0.3
823
Tumor
0.3
937
Tumor
0.3
524
Normal
0.3
878
Normal
0.3
411
Tumor
0.3
455
Tumor
0.3
141
Tumor
0.3
497
Tumor
0.3
224
Normal
0.3
663
Tumor
0.3
367
Tumor
0.3
685
Tumor
0.3
483
Tumor
0.3
465
Tumor
0.3
1021
Tumor
0.3
923
Tumor
0.3
981
Tumor
0.2
445
Tumor
0.2
744
Normal
0.2
745
Tumor
0.2
857
Tumor
0.2
452
Normal
0.2
341
Tumor
0.2
473
Tumor
0.2
137
Tumor
0.2
477
Tumor
0.2
147
Tumor
0.2
271
Tumor
0.2
463
Tumor
0.2
911
Tumor
0.2
865
Tumor
0.2
474
Normal
0.2
423
Tumor
0.2
125
Tumor
0.1
391
Tumor
0.1
635
Tumor
0.1
966
Normal
0.1
957
Tumor
0.1
665
Tumor
0.1
546
Normal
0.1
142
Normal
0.1
874
Normal
0.1
1022
Normal
0.1
952
Normal
0.1
297
Tumor
0.1
327
Tumor
0.1
618
Normal
0.1
492
Normal
0.0
554
Normal
0.0
364
Normal
0.0
277
Tumor
0.0
861
Tumor
0.0
526
Normal
0.0
563
Tumor
0.0
161
Tumor
0.0
124
Normal
0.0
328
Normal
0.0
964
Normal
0.0
426
Normal
0.0
113
Tumor
0.0
815
Tumor
N/A
867
Tumor
0.0
516
Normal
0.0
493
Tumor
0.0
965
Tumor
0.0
738
Normal
0.0
518
Normal
0.0
228
Normal
0.0
715
Tumor
0.0
922
Normal
0.0
488
Normal
0.0
494
Normal
0.0
696
Normal
0.0
943
Tumor
-0.1
982
Normal
-0.1
111
Normal
-0.1
484
Normal
-0.1
913
Tumor
-0.1
873
Tumor
-0.1
956
Normal
-0.1
217
Tumor
-0.1
1015
Tumor
-0.1
1031
Tumor
-0.1
918
Normal
-0.1
472
Normal
-0.1
742
Normal
-0.1
433
Tumor
-0.1
617
Tumor
-0.1
447
Tumor
-0.1
535
Tumor
-0.1
221
Tumor
-0.1
313
Tumor
-0.1
636
Normal
-0.1
866
Normal
-0.1
938
Normal
-0.1
448
Normal
-0.1
1026
Normal
-0.1
135
Tumor
-0.1
916
Normal
-0.1
412
Normal
-0.1
435
Tumor
-0.1
536
Normal
-0.1
862
Normal
-0.1
728
Normal
-0.1
342
Normal
-0.1
513
Tumor
-0.1
187
Tumor
-0.1
344
Normal
-0.1
627
Tumor
-0.1
444
Normal
-0.1
262
Normal
-0.2
171
Tumor
-0.2
114
Normal
-0.2
917
Tumor
-0.2
955
Tumor
-0.2
951
Tumor
-0.2
285
Tumor
-0.2
786
Normal
-0.2
267
Tumor
-0.2
416
Normal
-0.2
218
Normal
-0.2
286
Normal
-0.2
914
Normal
-0.2
983
Tumor
-0.2
686
Normal
-0.2
415
Tumor
-0.2
1013
Tumor
-0.2
368
Normal
-0.2
816
Normal
-0.2
641
Tumor
-0.2
462
Normal
-0.2
268
Normal
-0.2
851
Tumor
-0.2
421
Tumor
-0.2
968
Normal
-0.2
716
Normal
-0.2
534
Normal
-0.2
185
Tumor
-0.2
723
Tumor
-0.2
464
Normal
-0.2
958
Normal
-0.2
567
Tumor
-0.2
1046
Normal
-0.2
864
Normal
-0.2
386
Normal
-0.2
814
Normal
-0.2
396
Normal
-0.2
186
Normal
-0.3
573
Tumor
-0.3
395
Tumor
-0.3
672
Normal
-0.3
925
Tumor
-0.3
132
Normal
-0.3
383
Tumor
-0.3
976
Normal
-0.3
756
Normal
-0.3
284
Normal
-0.3
258
Normal
-0.3
232
Normal
-0.3
392
Normal
-0.3
136
Normal
-0.3
146
Normal
-0.3
868
Normal
-0.3
698
Normal
-0.3
126
Normal
-0.3
138
Normal
-0.3
468
Normal
-0.3
571
Tumor
-0.3
514
Normal
-0.3
926
Normal
-0.3
481
Tumor
-0.3
954
Normal
-0.3
451
Tumor
-0.3
434
Normal
-0.3
714
Normal
-0.3
188
Normal
-0.3
568
Normal
-0.3
648
Normal
-0.3
311
Tumor
-0.3
212
Normal
-0.3
882
Normal
-0.3
353
Tumor
-0.3
466
Normal
-0.3
722
Normal
-0.3
456
Normal
-0.3
272
Normal
-0.3
356
Normal
-0.3
414
Normal
-0.3
432
Normal
-0.3
376
Normal
-0.4
424
Normal
-0.4
195
Tumor
-0.4
557
Tumor
-0.4
884
Normal
-0.4
528
Normal
-0.4
384
Normal
-0.4
1044
Normal
-0.4
436
Normal
-0.4
1016
Normal
-0.4
196
Normal
-0.4
642
Normal
-0.4
478
Normal
-0.4
574
Normal
-0.4
222
Normal
-0.4
214
Normal
-0.4
357
Tumor
-0.4
533
Tumor
-0.4
148
Normal
-0.4
564
Normal
-0.4
818
Normal
-0.4
394
Normal
-0.4
721
Tumor
-0.4
1042
Normal
-0.4
162
Normal
-0.4
852
Normal
-0.4
428
Normal
-0.4
191
Tumor
-0.4
128
Normal
-0.4
172
Normal
-0.4
422
Normal
-0.4
361
Tumor
-0.5
312
Normal
-0.5
443
Tumor
-0.5
944
Normal
-0.5
467
Tumor
-0.5
331
Tumor
-0.5
662
Normal
-0.5
387
Tumor
-0.5
298
Normal
-0.5
858
Normal
-0.5
482
Normal
-0.5
616
Normal
-0.5
537
Tumor
-0.5
558
Normal
-0.5
912
Normal
-0.5
354
Normal
-0.5
666
Normal
-0.5
362
Normal
-0.5
385
Tumor
-0.5
1032
Normal
-0.5
145
Tumor
-0.5
388
Normal
-0.6
213
Tumor
-0.6
664
Normal
-0.6
123
Tumor
-0.6
824
Normal
-0.6
366
Normal
-0.6
413
Tumor
-0.6
231
Tumor
-0.6
572
Normal
-0.6
628
Normal
-0.7
358
Normal
-0.7
314
Normal
-0.7
446
Normal
-0.7
127
Tumor
-0.7
211
Tumor
-0.7
278
Normal
-0.8
352
Normal
-0.8
984
Normal
-0.8
332
Normal
-0.8
1014
Normal
-0.8
351
Tumor
-0.8
724
Normal
-0.9
427
Tumor
-1.0
978
Normal
-1.0
661
Tumor
-1.3
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.