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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.
RPS14 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
1245.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3966.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3644.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3631.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3405.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3258.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3241.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3104.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2922.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2727.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2724.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2693.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2677.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2662.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2628.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2613.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2585.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2549.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2510.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2463.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2451.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2449.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2413.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2394.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2382.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2359.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2351.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2283.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2278.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2258.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2235.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2220.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2214.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2189.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2188.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2186.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2185.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2184.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2177.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2175.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2127.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2123.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2122.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2103.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2084.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2084.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2075.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2074.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2040.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1988.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1958.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1942.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1893.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1869.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1867.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1811.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1811.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1788.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1766.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1762.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1757.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1755.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1738.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1727.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1720.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1706.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1687.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1670.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1665.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1663.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1654.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1653.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1638.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1634.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1630.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1628.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1617.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1613.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1609.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1589.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1588.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1580.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1564.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1533.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1528.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1527.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1515.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1499.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1489.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1484.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1476.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1471.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1470.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1462.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1455.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1455.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1444.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1442.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1438.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1433.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1423.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1414.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1411.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1410.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1404.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1395.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1394.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1390.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1384.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1381.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1379.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1378.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1365.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1364.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1362.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1351.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1349.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1346.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1345.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1342.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1334.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1334.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1332.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1326.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1319.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1314.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1307.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1306.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1304.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1303.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1299.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1298.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1287.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1285.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1281.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1276.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1274.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1273.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1269.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1252.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1248.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1247.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1244.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1242.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1229.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1229.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1225.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1212.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1210.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1210.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1207.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1198.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1195.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1192.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1178.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1172.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1167.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1166.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1161.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1160.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1158.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1156.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1151.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1150.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1149.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1149.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1140.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1137.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1137.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1136.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1132.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1129.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1128.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1126.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1121.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1119.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1117.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1114.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1113.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1113.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1112.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1110.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1101.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1099.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1094.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1087.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1086.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1080.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1078.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1076.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1074.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1074.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1073.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1070.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1063.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1062.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1061.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1060.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1060.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1059.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1059.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1059.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1057.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1052.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1043.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1040.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1034.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1020.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1014.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1009.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1008.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1007.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1006.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1003.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1002.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1002.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1002.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
983.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
978.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
977.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
971.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
968.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
968.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
967.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
965.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
960.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
958.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
958.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
956.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
952.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
951.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
945.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
944.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
940.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
935.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
928.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
923.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
922.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
921.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
918.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
914.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
907.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
902.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
887.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
886.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
876.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
875.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
874.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
869.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
862.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
858.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
856.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
856.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
854.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
852.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
849.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
849.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
846.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
844.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
844.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
843.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
843.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
842.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
841.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
838.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
838.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
834.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
833.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
832.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
822.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
815.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
810.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
807.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
806.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
803.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
802.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
793.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
789.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
789.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
784.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
779.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
772.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
767.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
767.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
764.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
761.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
761.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
760.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
760.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
755.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
755.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
749.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
745.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
742.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
734.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
730.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
727.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
727.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
723.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
721.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
716.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
714.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
709.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
707.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
706.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
703.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
702.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
701.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
700.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
696.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
684.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
670.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
670.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
666.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
664.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
660.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
657.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
645.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
634.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
631.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
629.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
626.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
623.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
620.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
620.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
619.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
614.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
612.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
610.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
600.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
596.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
589.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
589.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
579.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
578.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
572.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
571.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
569.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
568.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
567.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
559.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
555.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
552.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
547.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
541.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
535.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
534.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
520.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
513.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
509.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
487.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
485.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
483.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
468.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
458.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
452.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
452.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
446.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
430.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
424.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
416.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
413.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 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.
RPS14 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
1977.3
Number of samples
231
Samples
Sample
Description
pTPM
DO23545
67 years, male, NA, stage:2, dead, 570 days
7343.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
5820.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
5353.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
4887.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
4716.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4506.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4324.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
3998.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
3907.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
3872.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
3827.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
3717.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
3666.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3632.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
3595.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
3491.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
3478.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
3451.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
3287.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3272.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
3265.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
3258.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
3258.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
3233.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
3219.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3053.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
2990.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
2983.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
2931.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
2927.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
2901.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
2897.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
2890.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
2873.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
2843.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
2819.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2787.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
2785.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
2784.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
2779.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
2776.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
2716.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
2693.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
2673.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
2673.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
2660.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
2657.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
2651.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
2631.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2604.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
2587.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
2578.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
2566.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2562.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
2562.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
2547.2
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2534.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
2507.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
2464.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2439.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
2438.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2429.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
2421.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
2420.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2412.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2401.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2395.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2382.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2346.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2326.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
2283.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
2265.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
2259.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
2235.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2207.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
2142.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
2142.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2139.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
2113.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
2110.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
2097.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
2077.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2064.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2061.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
2056.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2050.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2049.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
2037.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
2033.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
2030.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2000.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
1991.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1988.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1971.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
1971.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1970.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
1970.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1968.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
1966.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1961.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
1956.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1949.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
1944.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1932.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
1932.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1931.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1911.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
1887.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1881.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1873.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
1863.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1843.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1811.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1810.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1766.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1756.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
1754.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1747.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
1734.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1719.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
1713.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1712.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1692.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1681.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1679.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1671.2
DO45253
50 years, male, NA, stage:2, alive, 870 days
1662.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1658.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1657.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1644.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
1641.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1611.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1589.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1585.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1577.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1563.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1546.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1543.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
1534.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
1523.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
1518.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1512.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1511.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
1507.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1500.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
1498.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1494.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1494.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1491.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1484.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
1471.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
1470.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
1468.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
1468.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1467.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
1447.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1440.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1436.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1433.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1408.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1404.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
1402.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
1396.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
1387.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1373.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
1348.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
1344.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1338.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
1338.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
1337.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1332.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
1310.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1310.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1301.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1300.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1298.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
1292.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1278.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1274.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1269.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1221.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
1218.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
1218.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1215.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1211.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1202.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1192.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1191.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
1189.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1165.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1154.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1153.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1152.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1145.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1140.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1127.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1070.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
1069.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
1067.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
1064.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
1061.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
1050.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1039.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1034.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
1032.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
960.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
959.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
952.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
936.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
910.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
908.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
892.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
870.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
868.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
861.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
831.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
824.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
807.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
801.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
795.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
784.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
782.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
772.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
767.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
765.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
760.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
738.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
715.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
644.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
471.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
420.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
285
Tumor
0.4
567
Tumor
0.4
1027
Tumor
0.3
537
Tumor
0.3
331
Tumor
0.3
1021
Tumor
0.3
557
Tumor
0.3
1025
Tumor
0.3
223
Tumor
0.2
393
Tumor
0.2
965
Tumor
0.2
314
Normal
0.2
877
Tumor
0.2
815
Tumor
0.2
723
Tumor
0.2
523
Tumor
0.2
452
Normal
0.2
387
Tumor
0.2
227
Tumor
0.2
937
Tumor
0.2
332
Normal
0.2
721
Tumor
0.2
367
Tumor
0.2
327
Tumor
0.2
113
Tumor
0.1
312
Normal
0.1
267
Tumor
0.1
742
Normal
0.1
278
Normal
0.1
967
Tumor
0.1
258
Normal
0.1
913
Tumor
0.1
983
Tumor
0.1
914
Normal
0.1
388
Normal
0.1
968
Normal
0.1
636
Normal
0.1
368
Normal
0.1
353
Tumor
0.1
938
Normal
0.1
436
Normal
0.1
686
Normal
0.1
671
Tumor
0.1
443
Tumor
0.1
517
Tumor
0.1
392
Normal
0.1
172
Normal
0.1
413
Tumor
0.1
545
Tumor
0.1
685
Tumor
0.1
648
Normal
0.1
851
Tumor
0.1
277
Tumor
0.1
526
Normal
0.1
743
Tumor
0.1
533
Tumor
0.1
912
Normal
0.1
1022
Normal
0.1
713
Tumor
0.1
564
Normal
0.1
966
Normal
0.1
738
Normal
0.1
132
Normal
0.1
222
Normal
0.1
574
Normal
0.1
214
Normal
0.1
727
Tumor
0.1
451
Tumor
0.1
467
Tumor
0.1
572
Normal
0.1
395
Tumor
0.1
195
Tumor
0.1
1028
Normal
0.1
571
Tumor
0.1
951
Tumor
0.1
745
Tumor
0.1
463
Tumor
0.1
696
Normal
0.1
186
Normal
0.1
217
Tumor
0.1
737
Tumor
0.1
698
Normal
0.1
394
Normal
0.0
391
Tumor
0.0
518
Normal
0.0
358
Normal
0.0
298
Normal
0.0
218
Normal
0.0
187
Tumor
0.0
617
Tumor
0.0
271
Tumor
0.0
957
Tumor
0.0
445
Tumor
0.0
813
Tumor
0.0
981
Tumor
0.0
386
Normal
0.0
573
Tumor
0.0
366
Normal
0.0
786
Normal
0.0
464
Normal
0.0
777
Tumor
0.0
286
Normal
0.0
862
Normal
0.0
385
Tumor
0.0
342
Normal
0.0
697
Tumor
0.0
1014
Normal
0.0
1043
Tumor
0.0
976
Normal
0.0
448
Normal
0.0
213
Tumor
0.0
516
Normal
0.0
984
Normal
0.0
525
Tumor
0.0
642
Normal
0.0
1031
Tumor
0.0
128
Normal
0.0
635
Tumor
0.0
211
Tumor
0.0
666
Normal
0.0
728
Normal
0.0
515
Tumor
0.0
361
Tumor
0.0
145
Tumor
0.0
554
Normal
0.0
138
Normal
0.0
231
Tumor
0.0
1026
Normal
0.0
664
Normal
0.0
978
Normal
0.0
268
Normal
0.0
546
Normal
0.0
528
Normal
0.0
396
Normal
0.0
864
Normal
0.0
1015
Tumor
0.0
421
Tumor
0.0
221
Tumor
0.0
817
Tumor
0.0
131
Tumor
0.0
142
Normal
0.0
422
Normal
0.0
943
Tumor
0.0
615
Tumor
0.0
958
Normal
0.0
955
Tumor
0.0
124
Normal
0.0
136
Normal
0.0
852
Normal
0.0
714
Normal
0.0
558
Normal
0.0
111
Normal
0.0
865
Tumor
0.0
344
Normal
0.0
647
Tumor
0.0
746
Normal
0.0
188
Normal
0.0
568
Normal
0.0
1016
Normal
0.0
1041
Tumor
0.0
527
Tumor
0.0
722
Normal
0.0
724
Normal
0.0
923
Tumor
0.0
534
Normal
0.0
355
Tumor
0.0
744
Normal
0.0
313
Tumor
0.0
665
Tumor
0.0
755
Tumor
0.0
352
Normal
0.0
162
Normal
0.0
412
Normal
0.0
433
Tumor
0.0
975
Tumor
0.0
257
Tumor
0.0
628
Normal
0.0
618
Normal
0.0
816
Normal
0.0
778
Normal
0.0
921
Tumor
0.0
954
Normal
0.0
785
Tumor
0.0
461
Tumor
0.0
861
Tumor
0.0
112
Tumor
0.0
524
Normal
0.0
952
Normal
0.0
363
Tumor
-0.1
414
Normal
-0.1
616
Normal
-0.1
185
Tumor
-0.1
1046
Normal
-0.1
884
Normal
-0.1
1032
Normal
-0.1
1044
Normal
-0.1
924
Normal
-0.1
881
Tumor
-0.1
953
Tumor
-0.1
384
Normal
-0.1
716
Normal
-0.1
481
Tumor
-0.1
262
Normal
-0.1
232
Normal
-0.1
135
Tumor
-0.1
911
Tumor
-0.1
823
Tumor
-0.1
272
Normal
-0.1
468
Normal
-0.1
982
Normal
-0.1
196
Normal
-0.1
376
Normal
-0.1
351
Tumor
-0.1
114
Normal
-0.1
878
Normal
-0.1
715
Tumor
-0.1
462
Normal
-0.1
147
Tumor
-0.1
362
Normal
-0.1
663
Tumor
-0.1
434
Normal
-0.1
148
Normal
-0.1
513
Tumor
-0.1
535
Tumor
-0.1
365
Tumor
-0.1
191
Tumor
-0.1
627
Tumor
-0.1
428
Normal
-0.1
446
Normal
-0.1
354
Normal
-0.1
661
Tumor
-0.1
922
Normal
-0.1
915
Tumor
-0.1
283
Tumor
-0.1
662
Normal
-0.1
343
Tumor
-0.1
918
Normal
-0.1
357
Tumor
-0.1
672
Normal
-0.1
435
Tumor
-0.1
431
Tumor
-0.1
456
Normal
-0.1
883
Tumor
-0.1
284
Normal
-0.1
474
Normal
-0.1
944
Normal
-0.1
411
Tumor
-0.1
536
Normal
-0.1
1013
Tumor
-0.1
964
Normal
-0.1
424
Normal
-0.1
814
Normal
-0.1
146
Normal
-0.1
866
Normal
-0.1
224
Normal
-0.1
963
Tumor
-0.1
956
Normal
-0.1
497
Tumor
-0.1
455
Tumor
-0.1
471
Tumor
-0.1
466
Normal
-0.1
824
Normal
-0.1
514
Normal
-0.1
756
Normal
-0.1
695
Tumor
-0.1
483
Tumor
-0.1
553
Tumor
-0.1
426
Normal
-0.1
473
Tumor
-0.1
125
Tumor
-0.1
917
Tumor
-0.1
427
Tumor
-0.1
868
Normal
-0.1
432
Normal
-0.1
465
Tumor
-0.1
161
Tumor
-0.1
126
Normal
-0.1
171
Tumor
-0.1
228
Normal
-0.1
127
Tumor
-0.1
493
Tumor
-0.1
926
Normal
-0.1
874
Normal
-0.1
328
Normal
-0.1
538
Normal
-0.1
192
Normal
-0.1
375
Tumor
-0.1
212
Normal
-0.1
882
Normal
-0.2
423
Tumor
-0.2
311
Tumor
-0.2
858
Normal
-0.2
447
Tumor
-0.2
425
Tumor
-0.2
484
Normal
-0.2
477
Tumor
-0.2
977
Tumor
-0.2
492
Normal
-0.2
494
Normal
-0.2
916
Normal
-0.2
488
Normal
-0.2
297
Tumor
-0.2
444
Normal
-0.2
873
Tumor
-0.2
487
Tumor
-0.2
356
Normal
-0.2
563
Tumor
-0.2
416
Normal
-0.2
364
Normal
-0.2
925
Tumor
-0.2
383
Tumor
-0.2
341
Tumor
-0.2
867
Tumor
-0.2
137
Tumor
-0.2
818
Normal
-0.2
1042
Normal
-0.2
741
Tumor
-0.2
863
Tumor
-0.2
472
Normal
-0.2
415
Tumor
-0.2
482
Normal
-0.2
491
Tumor
-0.3
857
Tumor
-0.3
498
Normal
-0.3
261
Tumor
-0.3
478
Normal
-0.3
123
Tumor
-0.3
141
Tumor
-0.3
641
Tumor
-0.3
1045
Tumor
-0.4
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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.
The Human Protein Atlas project is funded
