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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.
MYL6 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
1194.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4044.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3701.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3171.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2917.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2733.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2706.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2659.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2658.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2566.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2498.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2430.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2397.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2390.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2342.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2316.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2303.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2271.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2240.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2202.7
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2111.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2104.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2095.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2091.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2059.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2020.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2019.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2011.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1975.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1963.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1946.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1937.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1923.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1917.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1897.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1871.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1866.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1861.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1834.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1830.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1803.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1798.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1796.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1781.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1757.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1757.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1742.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1735.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1731.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1720.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1691.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1678.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1678.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1638.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1633.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1631.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1619.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1589.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1584.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1582.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1581.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1573.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1570.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1569.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1563.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1559.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1547.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1542.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1535.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1532.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1532.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1522.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1514.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1499.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1496.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1486.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1482.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1473.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1471.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1463.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1463.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1445.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1441.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1437.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1436.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1434.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1429.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1418.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1414.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1407.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1395.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1389.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1388.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1380.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1377.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1368.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1363.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1357.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1353.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1344.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1339.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1336.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1330.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1326.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1325.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1321.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1313.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1310.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1308.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1307.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1303.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1303.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1301.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1295.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1294.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1291.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1286.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1286.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1281.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1280.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1272.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1268.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1266.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1261.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1258.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1256.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1251.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1244.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1242.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1240.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1240.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1229.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1229.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1220.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1218.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1210.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1209.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1206.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1201.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1199.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1197.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1187.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1174.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1173.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1170.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1169.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1163.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1157.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1157.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1156.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1151.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1149.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1145.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1142.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1140.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1139.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1137.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1137.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1136.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1132.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1131.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1127.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1126.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1124.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1122.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1119.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1119.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1116.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1110.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1108.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1104.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1104.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1102.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1099.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1099.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1098.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1098.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1093.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1087.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1076.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1076.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1075.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1070.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1069.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1065.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1060.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1058.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1053.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1052.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1048.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1046.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1045.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1044.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1043.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1042.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1042.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1041.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1041.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1038.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1037.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1037.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1034.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1029.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1026.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1023.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1021.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1020.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1019.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1015.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1014.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1013.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1012.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1006.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1004.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1004.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1002.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
995.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
994.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
994.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
992.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
992.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
991.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
990.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
983.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
979.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
974.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
971.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
958.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
953.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
952.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
952.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
950.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
947.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
946.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
945.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
942.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
937.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
936.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
932.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
931.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
929.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
929.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
921.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
920.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
915.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
909.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
909.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
909.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
909.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
908.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
907.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
904.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
900.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
900.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
894.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
894.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
889.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
883.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
883.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
882.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
882.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
879.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
878.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
878.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
872.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
871.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
870.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
861.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
860.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
859.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
856.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
850.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
849.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
849.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
844.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
841.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
841.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
841.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
840.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
839.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
838.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
837.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
835.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
827.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
822.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
821.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
820.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
813.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
813.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
812.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
812.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
810.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
810.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
808.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
808.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
805.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
804.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
798.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
796.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
795.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
795.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
790.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
788.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
786.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
772.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
772.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
770.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
763.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
761.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
754.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
753.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
752.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
752.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
749.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
743.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
743.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
740.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
737.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
730.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
721.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
720.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
719.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
717.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
716.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
713.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
713.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
713.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
713.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
708.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
700.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
699.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
698.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
689.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
686.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
686.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
685.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
685.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
672.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
664.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
663.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
656.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
654.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
653.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
649.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
643.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
637.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
620.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
608.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
601.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
588.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
586.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
581.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
574.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
568.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
538.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
532.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
519.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
506.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
494.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
413.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
397.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
386.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 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.
MYL6 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
1286.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45307
54 years, female, NA, stage:4, dead, 240 days
4558.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
4349.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
3933.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
3809.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3682.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
3657.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3411.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
3253.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
3121.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
3021.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
2835.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
2767.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
2702.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
2521.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2469.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
2385.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2343.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
2237.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
2196.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
2191.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
2180.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
2169.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
2158.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2120.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2101.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
2041.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1976.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1965.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
1961.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1928.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1815.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1814.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1798.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
1797.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
1783.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
1772.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
1772.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
1770.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1765.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1748.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
1736.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
1731.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1729.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1717.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
1676.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
1674.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
1665.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1641.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1638.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1619.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
1617.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1613.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
1606.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
1604.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
1595.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
1581.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1574.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1573.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
1558.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1554.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
1513.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1503.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
1486.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1479.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
1477.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
1472.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
1466.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1458.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1446.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1438.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
1435.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
1434.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
1432.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
1413.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1399.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1393.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1390.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1381.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1376.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
1346.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1343.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
1337.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1330.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1327.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1312.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1310.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1305.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1305.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1300.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
1297.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1291.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1271.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1264.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
1257.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
1246.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1236.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1224.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
1219.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1219.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
1215.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1192.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1190.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
1185.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1182.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1180.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1174.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
1168.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
1162.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1159.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1148.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1141.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1127.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
1110.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1107.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
1104.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1091.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1084.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1081.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
1071.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1071.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1068.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
1066.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1063.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1062.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
1056.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1056.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1050.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
1037.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1037.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1030.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1020.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1015.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
1014.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
1010.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
1007.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
1004.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
1004.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1003.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1000.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
986.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
985.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
969.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
955.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
954.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
948.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
948.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
945.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
943.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
942.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
942.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
940.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
938.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
930.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
927.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
926.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
918.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
918.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
912.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
907.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
904.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
898.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
891.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
889.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
886.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
884.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
881.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
880.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
875.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
861.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
857.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
856.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
854.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
850.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
842.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
841.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
841.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
831.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
824.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
816.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
816.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
813.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
797.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
796.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
792.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
773.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
767.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
766.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
759.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
742.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
741.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
741.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
735.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
724.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
720.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
714.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
705.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
699.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
692.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
692.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
685.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
662.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
649.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
646.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
646.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
643.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
641.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
639.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
636.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
615.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
615.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
606.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
593.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
566.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
565.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
563.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
553.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
543.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
517.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
502.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
496.6
DO45105
61 years, male, NA, stage:1, alive, 1680 days
469.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
468.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
442.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
400.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
395.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
373.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
368.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
362.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
322.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
315.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
280.8
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
192
Normal
0.7
311
Tumor
0.7
536
Normal
0.5
917
Tumor
0.5
223
Tumor
0.5
444
Normal
0.5
185
Tumor
0.5
1045
Tumor
0.5
498
Normal
0.4
881
Tumor
0.4
268
Normal
0.3
224
Normal
0.3
478
Normal
0.3
852
Normal
0.3
421
Tumor
0.3
982
Normal
0.3
447
Tumor
0.3
817
Tumor
0.3
124
Normal
0.3
916
Normal
0.3
434
Normal
0.3
126
Normal
0.3
188
Normal
0.3
813
Tumor
0.3
883
Tumor
0.3
445
Tumor
0.3
455
Tumor
0.3
814
Normal
0.3
878
Normal
0.3
297
Tumor
0.2
1028
Normal
0.2
1044
Normal
0.2
816
Normal
0.2
627
Tumor
0.2
563
Tumor
0.2
672
Normal
0.2
823
Tumor
0.2
635
Tumor
0.2
975
Tumor
0.2
416
Normal
0.2
448
Normal
0.2
913
Tumor
0.2
516
Normal
0.2
572
Normal
0.2
284
Normal
0.2
785
Tumor
0.2
386
Normal
0.2
412
Normal
0.2
538
Normal
0.2
778
Normal
0.2
214
Normal
0.2
331
Tumor
0.2
146
Normal
0.2
976
Normal
0.2
384
Normal
0.2
344
Normal
0.2
744
Normal
0.2
212
Normal
0.2
461
Tumor
0.2
868
Normal
0.2
857
Tumor
0.2
671
Tumor
0.2
786
Normal
0.2
958
Normal
0.1
195
Tumor
0.1
492
Normal
0.1
137
Tumor
0.1
777
Tumor
0.1
924
Normal
0.1
528
Normal
0.1
884
Normal
0.1
642
Normal
0.1
332
Normal
0.1
716
Normal
0.1
364
Normal
0.1
713
Tumor
0.1
723
Tumor
0.1
228
Normal
0.1
943
Tumor
0.1
818
Normal
0.1
213
Tumor
0.1
874
Normal
0.1
984
Normal
0.1
283
Tumor
0.1
312
Normal
0.1
375
Tumor
0.1
914
Normal
0.1
354
Normal
0.1
866
Normal
0.1
636
Normal
0.1
882
Normal
0.1
471
Tumor
0.1
715
Tumor
0.1
394
Normal
0.1
142
Normal
0.1
721
Tumor
0.1
515
Tumor
0.1
443
Tumor
0.1
524
Normal
0.1
738
Normal
0.1
218
Normal
0.1
433
Tumor
0.1
343
Tumor
0.1
327
Tumor
0.1
722
Normal
0.1
685
Tumor
0.1
863
Tumor
0.1
954
Normal
0.1
472
Normal
0.1
262
Normal
0.1
698
Normal
0.1
714
Normal
0.0
388
Normal
0.0
341
Tumor
0.0
446
Normal
0.0
921
Tumor
0.0
474
Normal
0.0
432
Normal
0.0
138
Normal
0.0
468
Normal
0.0
423
Tumor
0.0
527
Tumor
0.0
513
Tumor
0.0
286
Normal
0.0
546
Normal
0.0
422
Normal
0.0
277
Tumor
0.0
1032
Normal
0.0
366
Normal
0.0
352
Normal
0.0
686
Normal
0.0
912
Normal
0.0
465
Tumor
0.0
1022
Normal
0.0
272
Normal
0.0
628
Normal
0.0
211
Tumor
0.0
728
Normal
0.0
968
Normal
0.0
187
Tumor
0.0
112
Tumor
0.0
978
Normal
0.0
956
Normal
0.0
514
Normal
0.0
427
Tumor
0.0
415
Tumor
0.0
574
Normal
0.0
925
Tumor
0.0
141
Tumor
0.0
697
Tumor
0.0
1021
Tumor
0.0
426
Normal
0.0
615
Tumor
0.0
396
Normal
0.0
414
Normal
0.0
742
Normal
0.0
395
Tumor
0.0
568
Normal
0.0
428
Normal
0.0
298
Normal
0.0
966
Normal
0.0
392
Normal
0.0
481
Tumor
0.0
666
Normal
0.0
357
Tumor
0.0
618
Normal
0.0
696
Normal
0.0
462
Normal
0.0
558
Normal
0.0
362
Normal
0.0
545
Tumor
0.0
196
Normal
0.0
456
Normal
0.0
424
Normal
0.0
1026
Normal
0.0
867
Tumor
0.0
328
Normal
0.0
525
Tumor
0.0
662
Normal
0.0
952
Normal
0.0
746
Normal
0.0
756
Normal
0.0
363
Tumor
0.0
873
Tumor
0.0
944
Normal
0.0
162
Normal
0.0
186
Normal
-0.1
136
Normal
-0.1
172
Normal
-0.1
145
Tumor
-0.1
938
Normal
-0.1
376
Normal
-0.1
111
Normal
-0.1
494
Normal
-0.1
383
Tumor
-0.1
477
Tumor
-0.1
114
Normal
-0.1
824
Normal
-0.1
534
Normal
-0.1
923
Tumor
-0.1
232
Normal
-0.1
356
Normal
-0.1
355
Tumor
-0.1
1042
Normal
-0.1
922
Normal
-0.1
467
Tumor
-0.1
727
Tumor
-0.1
222
Normal
-0.1
1015
Tumor
-0.1
1027
Tumor
-0.1
365
Tumor
-0.1
488
Normal
-0.1
217
Tumor
-0.1
278
Normal
-0.1
918
Normal
-0.1
616
Normal
-0.1
864
Normal
-0.1
368
Normal
-0.1
977
Tumor
-0.1
518
Normal
-0.1
342
Normal
-0.1
148
Normal
-0.1
132
Normal
-0.1
647
Tumor
-0.1
641
Tumor
-0.1
258
Normal
-0.1
413
Tumor
-0.1
564
Normal
-0.1
482
Normal
-0.1
385
Tumor
-0.1
862
Normal
-0.1
858
Normal
-0.1
231
Tumor
-0.1
755
Tumor
-0.1
466
Normal
-0.1
452
Normal
-0.1
191
Tumor
-0.1
664
Normal
-0.1
1016
Normal
-0.1
963
Tumor
-0.1
436
Normal
-0.1
127
Tumor
-0.1
358
Normal
-0.2
911
Tumor
-0.2
128
Normal
-0.2
353
Tumor
-0.2
221
Tumor
-0.2
464
Normal
-0.2
135
Tumor
-0.2
361
Tumor
-0.2
964
Normal
-0.2
983
Tumor
-0.2
271
Tumor
-0.2
493
Tumor
-0.2
737
Tumor
-0.2
483
Tumor
-0.2
877
Tumor
-0.2
1046
Normal
-0.2
147
Tumor
-0.2
161
Tumor
-0.2
526
Normal
-0.2
617
Tumor
-0.2
131
Tumor
-0.2
955
Tumor
-0.2
451
Tumor
-0.2
1014
Normal
-0.2
425
Tumor
-0.2
743
Tumor
-0.2
1031
Tumor
-0.2
926
Normal
-0.2
567
Tumor
-0.2
648
Normal
-0.2
535
Tumor
-0.2
554
Normal
-0.2
981
Tumor
-0.2
953
Tumor
-0.2
661
Tumor
-0.3
393
Tumor
-0.3
314
Normal
-0.3
497
Tumor
-0.3
484
Normal
-0.3
724
Normal
-0.3
285
Tumor
-0.3
745
Tumor
-0.3
851
Tumor
-0.3
491
Tumor
-0.3
695
Tumor
-0.3
967
Tumor
-0.3
113
Tumor
-0.3
557
Tumor
-0.3
951
Tumor
-0.3
1043
Tumor
-0.3
261
Tumor
-0.3
171
Tumor
-0.3
861
Tumor
-0.3
915
Tumor
-0.3
387
Tumor
-0.3
257
Tumor
-0.3
313
Tumor
-0.3
523
Tumor
-0.3
815
Tumor
-0.3
571
Tumor
-0.4
665
Tumor
-0.4
553
Tumor
-0.4
865
Tumor
-0.4
1041
Tumor
-0.4
573
Tumor
-0.4
411
Tumor
-0.4
463
Tumor
-0.4
267
Tumor
-0.4
741
Tumor
-0.4
1025
Tumor
-0.4
125
Tumor
-0.4
937
Tumor
-0.4
351
Tumor
-0.5
435
Tumor
-0.5
663
Tumor
-0.5
517
Tumor
-0.5
533
Tumor
-0.5
367
Tumor
-0.5
431
Tumor
-0.5
391
Tumor
-0.5
227
Tumor
-0.5
473
Tumor
-0.6
957
Tumor
-0.6
123
Tumor
-0.6
487
Tumor
-0.6
965
Tumor
-0.6
1013
Tumor
-0.7
537
Tumor
-0.7
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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.