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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.
RPL24 is validated prognostic, high expression is unfavorable 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
1340.4
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4042.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3906.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3671.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3621.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3539.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3346.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3331.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3266.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3257.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3231.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3229.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3208.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3169.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2996.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2990.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2878.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2848.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2810.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2707.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2662.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2566.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2524.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2519.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2447.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2433.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2401.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2399.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2398.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2376.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2353.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2319.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2297.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2277.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2242.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2230.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2189.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2141.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2100.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2084.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2079.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2074.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2062.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2029.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2027.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2020.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2014.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2003.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2003.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1986.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1981.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1940.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1925.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1925.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1917.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1905.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1905.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1895.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1881.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1873.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1873.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1857.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1844.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1840.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1827.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1819.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1819.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1805.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1803.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1795.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1792.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1780.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1766.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1760.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1758.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1754.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1752.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1749.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1747.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1734.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1722.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1706.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1685.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1674.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1648.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1646.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1619.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1618.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1614.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1613.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1600.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1600.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1592.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1588.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1578.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1576.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1574.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1570.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1567.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1566.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1561.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1561.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1559.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1558.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1554.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1554.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1549.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1528.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1528.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1526.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1512.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1498.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1494.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1484.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1481.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1477.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1471.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1458.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1454.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1452.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1441.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1439.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1439.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1438.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1433.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1417.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1416.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1405.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1403.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1398.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1392.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1392.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1380.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1375.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1371.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1370.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1365.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1362.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1357.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1350.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1332.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1331.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1317.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1310.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1304.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1303.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1303.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1296.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1294.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1293.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1290.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1284.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1280.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1279.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1274.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1272.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1271.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1266.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1265.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1265.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1265.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1261.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1259.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1257.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1254.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1247.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1243.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1234.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1228.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1226.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1225.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1224.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1222.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1214.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1206.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1205.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1204.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1189.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1187.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1182.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1179.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1178.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1177.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1174.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1168.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1163.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1155.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1146.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1145.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1143.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1143.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1143.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1139.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1131.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1126.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1120.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1117.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1116.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1115.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1111.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1110.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1108.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1102.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1096.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1093.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1087.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1086.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1085.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1083.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1079.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1079.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1079.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1075.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1075.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1074.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1068.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1066.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1065.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1065.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1056.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1046.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1037.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1036.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1032.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1031.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1030.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1027.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1024.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1023.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1022.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1012.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
996.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
994.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
989.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
984.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
977.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
971.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
963.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
956.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
955.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
953.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
952.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
947.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
944.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
940.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
940.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
938.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
938.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
934.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
933.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
932.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
927.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
921.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
921.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
915.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
913.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
911.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
907.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
906.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
904.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
903.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
899.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
895.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
894.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
893.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
886.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
885.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
877.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
870.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
870.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
868.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
867.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
855.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
852.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
847.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
846.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
846.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
843.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
842.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
834.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
832.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
830.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
829.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
828.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
828.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
826.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
824.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
821.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
819.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
816.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
815.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
811.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
806.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
802.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
801.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
801.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
799.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
799.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
797.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
793.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
789.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
786.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
783.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
779.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
779.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
778.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
777.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
777.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
777.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
774.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
766.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
761.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
760.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
754.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
752.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
750.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
749.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
742.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
742.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
731.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
726.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
725.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
718.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
717.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
715.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
714.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
708.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
701.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
699.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
696.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
695.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
692.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
691.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
690.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
689.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
689.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
684.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
683.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
680.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
662.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
659.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
653.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
651.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
651.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
649.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
640.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
639.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
634.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
631.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
627.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
609.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
606.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
600.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
582.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
571.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
562.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
546.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
541.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
536.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
534.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
531.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
529.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 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.
RPL24 is validated prognostic, high expression is unfavorable 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
1282.3
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
4495.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
4090.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
4015.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
3633.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
3021.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
2842.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
2619.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
2594.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
2526.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
2452.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
2450.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
2411.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
2300.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
2267.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
2213.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
2185.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
2180.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2100.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2096.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2094.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2091.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
2032.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
2030.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
2027.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
2025.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2015.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1994.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
1970.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1945.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1925.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
1871.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1864.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
1852.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
1842.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1802.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
1799.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1775.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
1774.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1760.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
1744.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1740.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
1719.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1713.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
1708.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
1699.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1697.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1690.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1689.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1682.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1675.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
1654.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
1643.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1623.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
1608.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1606.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1605.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
1603.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1601.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
1597.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
1551.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1547.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1497.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1495.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1484.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
1478.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1466.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1445.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
1439.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
1425.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
1423.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1422.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
1420.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1420.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
1412.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1407.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1407.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1406.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
1388.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1384.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
1379.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1375.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1373.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1372.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
1371.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
1348.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
1348.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
1347.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1341.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1329.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
1324.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1322.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1293.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1286.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
1273.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
1272.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1260.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1249.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1248.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1239.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1223.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1214.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
1213.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1184.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1181.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
1180.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
1170.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
1161.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1161.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
1141.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1132.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1132.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1130.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1125.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1113.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1113.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1112.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1109.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
1102.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
1095.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1092.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
1092.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1091.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1089.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
1081.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1063.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1063.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1059.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1053.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1051.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
1044.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1042.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1039.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
1029.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
1027.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1022.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1019.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1014.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
1012.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1010.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1009.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1007.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1000.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
996.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
988.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
977.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
973.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
968.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
966.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
965.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
961.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
959.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
952.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
951.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
951.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
939.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
939.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
936.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
934.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
920.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
919.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
915.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
914.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
910.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
908.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
895.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
894.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
886.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
878.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
878.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
878.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
867.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
866.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
864.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
862.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
855.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
855.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
843.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
835.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
833.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
831.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
829.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
817.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
815.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
799.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
797.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
788.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
784.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
783.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
783.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
782.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
781.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
777.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
776.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
767.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
761.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
760.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
752.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
746.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
737.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
734.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
732.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
719.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
717.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
715.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
707.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
700.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
696.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
693.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
680.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
674.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
674.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
660.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
654.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
648.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
645.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
636.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
632.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
630.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
626.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
614.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
613.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
611.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
586.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
580.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
569.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
563.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
528.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
525.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
518.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
500.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
305.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.8
537
Tumor
0.6
367
Tumor
0.5
285
Tumor
0.5
661
Tumor
0.5
1021
Tumor
0.4
327
Tumor
0.4
567
Tumor
0.4
685
Tumor
0.4
636
Normal
0.4
865
Tumor
0.4
223
Tumor
0.4
267
Tumor
0.3
331
Tumor
0.3
983
Tumor
0.3
353
Tumor
0.3
393
Tumor
0.3
824
Normal
0.3
135
Tumor
0.3
851
Tumor
0.3
232
Normal
0.3
195
Tumor
0.3
113
Tumor
0.3
912
Normal
0.3
724
Normal
0.3
743
Tumor
0.3
413
Tumor
0.3
395
Tumor
0.3
523
Tumor
0.3
981
Tumor
0.3
818
Normal
0.2
664
Normal
0.2
864
Normal
0.2
1027
Tumor
0.2
564
Normal
0.2
527
Tumor
0.2
672
Normal
0.2
497
Tumor
0.2
467
Tumor
0.2
257
Tumor
0.2
517
Tumor
0.2
866
Normal
0.2
984
Normal
0.2
727
Tumor
0.2
628
Normal
0.2
443
Tumor
0.2
286
Normal
0.2
387
Tumor
0.2
231
Tumor
0.2
385
Tumor
0.2
965
Tumor
0.2
858
Normal
0.2
553
Tumor
0.2
662
Normal
0.2
228
Normal
0.2
648
Normal
0.2
568
Normal
0.2
462
Normal
0.2
815
Tumor
0.2
618
Normal
0.2
481
Tumor
0.2
258
Normal
0.2
515
Tumor
0.2
982
Normal
0.2
376
Normal
0.2
1014
Normal
0.2
1025
Tumor
0.2
222
Normal
0.2
642
Normal
0.2
227
Tumor
0.2
212
Normal
0.2
617
Tumor
0.2
554
Normal
0.2
136
Normal
0.2
448
Normal
0.2
191
Tumor
0.2
214
Normal
0.2
218
Normal
0.2
284
Normal
0.2
545
Tumor
0.2
817
Tumor
0.2
375
Tumor
0.2
1016
Normal
0.2
131
Tumor
0.1
518
Normal
0.1
196
Normal
0.1
955
Tumor
0.1
221
Tumor
0.1
484
Normal
0.1
882
Normal
0.1
696
Normal
0.1
533
Tumor
0.1
1015
Tumor
0.1
494
Normal
0.1
412
Normal
0.1
488
Normal
0.1
368
Normal
0.1
528
Normal
0.1
271
Tumor
0.1
978
Normal
0.1
451
Tumor
0.1
738
Normal
0.1
944
Normal
0.1
666
Normal
0.1
525
Tumor
0.1
535
Tumor
0.1
356
Normal
0.1
474
Normal
0.1
128
Normal
0.1
558
Normal
0.1
698
Normal
0.1
665
Tumor
0.1
411
Tumor
0.1
114
Normal
0.1
436
Normal
0.1
574
Normal
0.1
964
Normal
0.1
362
Normal
0.1
861
Tumor
0.1
217
Tumor
0.1
277
Tumor
0.1
344
Normal
0.1
671
Tumor
0.1
745
Tumor
0.1
862
Normal
0.1
262
Normal
0.1
392
Normal
0.1
878
Normal
0.1
452
Normal
0.1
852
Normal
0.1
873
Tumor
0.1
616
Normal
0.1
937
Tumor
0.1
137
Tumor
0.1
394
Normal
0.1
546
Normal
0.1
572
Normal
0.1
723
Tumor
0.1
1026
Normal
0.1
132
Normal
0.1
778
Normal
0.1
342
Normal
0.1
123
Tumor
0.1
715
Tumor
0.1
493
Tumor
0.1
414
Normal
0.1
465
Tumor
0.1
737
Tumor
0.1
461
Tumor
0.1
922
Normal
0.1
351
Tumor
0.1
422
Normal
0.1
728
Normal
0.1
466
Normal
0.1
534
Normal
0.1
426
Normal
0.1
358
Normal
0.1
884
Normal
0.1
777
Tumor
0.1
213
Tumor
0.0
1028
Normal
0.0
112
Tumor
0.0
513
Tumor
0.0
172
Normal
0.0
1046
Normal
0.0
145
Tumor
0.0
427
Tumor
0.0
431
Tumor
0.0
923
Tumor
0.0
913
Tumor
0.0
918
Normal
0.0
425
Tumor
0.0
396
Normal
0.0
526
Normal
0.0
171
Tumor
0.0
471
Tumor
0.0
756
Normal
0.0
124
Normal
0.0
211
Tumor
0.0
857
Tumor
0.0
434
Normal
0.0
272
Normal
0.0
352
Normal
0.0
514
Normal
0.0
1031
Tumor
0.0
298
Normal
0.0
516
Normal
0.0
492
Normal
0.0
952
Normal
0.0
883
Tumor
0.0
455
Tumor
0.0
446
Normal
0.0
464
Normal
0.0
365
Tumor
0.0
186
Normal
0.0
111
Normal
0.0
224
Normal
0.0
332
Normal
0.0
261
Tumor
0.0
697
Tumor
0.0
433
Tumor
0.0
663
Tumor
0.0
421
Tumor
0.0
357
Tumor
0.0
814
Normal
0.0
386
Normal
0.0
142
Normal
0.0
1043
Tumor
0.0
881
Tumor
0.0
755
Tumor
0.0
573
Tumor
0.0
867
Tumor
0.0
162
Normal
0.0
686
Normal
0.0
268
Normal
0.0
341
Tumor
0.0
468
Normal
0.0
1044
Normal
0.0
722
Normal
0.0
742
Normal
0.0
967
Tumor
0.0
957
Tumor
0.0
138
Normal
0.0
388
Normal
0.0
968
Normal
0.0
187
Tumor
0.0
746
Normal
0.0
314
Normal
0.0
147
Tumor
0.0
563
Tumor
0.0
148
Normal
0.0
141
Tumor
0.0
926
Normal
0.0
524
Normal
0.0
914
Normal
0.0
647
Tumor
0.0
1042
Normal
0.0
966
Normal
0.0
1032
Normal
0.0
816
Normal
0.0
424
Normal
0.0
635
Tumor
0.0
366
Normal
0.0
744
Normal
0.0
695
Tumor
0.0
456
Normal
0.0
188
Normal
0.0
977
Tumor
-0.1
813
Tumor
-0.1
874
Normal
-0.1
615
Tumor
-0.1
354
Normal
-0.1
958
Normal
-0.1
146
Normal
-0.1
432
Normal
-0.1
975
Tumor
-0.1
384
Normal
-0.1
278
Normal
-0.1
571
Tumor
-0.1
721
Tumor
-0.1
641
Tumor
-0.1
1013
Tumor
-0.1
921
Tumor
-0.1
161
Tumor
-0.1
953
Tumor
-0.1
447
Tumor
-0.1
185
Tumor
-0.1
423
Tumor
-0.1
391
Tumor
-0.1
477
Tumor
-0.1
716
Normal
-0.1
445
Tumor
-0.1
361
Tumor
-0.1
785
Tumor
-0.1
313
Tumor
-0.1
297
Tumor
-0.1
956
Normal
-0.1
1022
Normal
-0.1
343
Tumor
-0.1
915
Tumor
-0.1
435
Tumor
-0.1
916
Normal
-0.1
487
Tumor
-0.1
364
Normal
-0.1
127
Tumor
-0.1
482
Normal
-0.1
951
Tumor
-0.1
463
Tumor
-0.1
312
Normal
-0.1
786
Normal
-0.1
538
Normal
-0.1
428
Normal
-0.1
415
Tumor
-0.1
924
Normal
-0.1
126
Normal
-0.2
498
Normal
-0.2
976
Normal
-0.2
938
Normal
-0.2
192
Normal
-0.2
472
Normal
-0.2
714
Normal
-0.2
383
Tumor
-0.2
444
Normal
-0.2
283
Tumor
-0.2
954
Normal
-0.2
483
Tumor
-0.2
863
Tumor
-0.2
355
Tumor
-0.2
911
Tumor
-0.2
925
Tumor
-0.2
536
Normal
-0.2
478
Normal
-0.2
963
Tumor
-0.2
627
Tumor
-0.2
473
Tumor
-0.2
416
Normal
-0.2
1041
Tumor
-0.2
328
Normal
-0.2
943
Tumor
-0.3
125
Tumor
-0.3
823
Tumor
-0.3
868
Normal
-0.3
1045
Tumor
-0.3
713
Tumor
-0.3
917
Tumor
-0.3
877
Tumor
-0.3
363
Tumor
-0.3
311
Tumor
-0.4
491
Tumor
-0.4
741
Tumor
-0.5
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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.