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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.
RPL6 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
1087.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4628.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4489.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3398.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3172.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3162.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2837.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2831.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2565.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2489.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2459.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2440.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2427.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2385.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2349.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2279.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2133.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2070.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2067.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2030.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2018.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1970.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1959.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1922.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1911.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1895.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1871.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1869.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1863.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1847.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1844.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1804.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1795.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1785.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1776.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1745.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1741.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1737.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1733.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1733.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1729.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1700.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1696.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1685.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1675.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1671.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1643.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1640.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1619.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1611.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1589.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1581.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1562.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1560.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1558.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1550.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1542.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1539.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1530.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1527.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1508.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1505.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1503.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1495.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1482.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1476.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1463.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1459.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1445.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1442.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1440.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1435.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1432.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1418.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1403.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1378.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1375.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1374.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1371.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1364.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1350.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1347.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1338.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1332.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1319.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1310.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1304.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1300.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1299.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1298.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1292.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1285.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1283.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1277.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1268.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1267.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1264.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1259.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1255.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1244.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1231.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1230.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1226.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1222.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1218.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1215.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1207.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1206.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1203.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1197.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1184.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1180.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1178.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1174.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1172.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1154.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1138.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1127.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1125.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1113.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1108.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1104.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1103.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1102.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1093.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1091.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1090.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1087.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1085.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1082.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1079.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1075.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1074.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1072.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1063.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1062.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1062.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1061.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1053.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1052.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1048.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1044.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1043.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1039.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1035.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1031.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1030.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1028.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1028.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1027.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1022.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1013.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1006.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1004.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
997.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
996.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
995.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
992.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
991.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
991.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
983.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
974.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
970.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
964.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
964.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
959.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
958.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
956.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
950.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
949.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
948.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
948.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
945.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
945.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
944.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
943.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
943.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
934.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
929.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
926.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
924.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
924.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
920.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
918.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
916.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
913.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
909.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
902.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
902.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
898.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
898.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
898.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
896.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
896.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
894.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
894.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
889.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
888.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
886.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
883.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
880.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
876.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
874.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
870.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
868.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
864.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
864.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
861.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
857.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
856.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
854.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
853.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
851.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
846.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
846.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
846.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
846.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
842.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
840.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
836.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
832.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
830.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
830.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
829.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
828.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
828.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
826.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
822.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
822.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
821.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
819.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
818.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
815.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
814.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
814.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
813.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
812.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
811.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
809.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
806.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
805.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
803.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
802.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
801.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
797.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
796.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
795.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
791.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
788.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
788.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
788.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
788.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
788.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
786.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
786.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
785.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
783.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
782.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
776.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
773.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
772.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
772.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
771.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
771.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
768.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
767.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
762.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
756.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
755.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
755.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
754.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
754.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
754.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
754.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
753.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
750.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
749.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
748.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
748.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
747.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
743.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
743.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
742.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
733.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
730.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
726.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
721.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
717.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
712.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
710.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
704.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
702.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
700.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
697.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
694.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
690.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
689.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
683.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
677.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
677.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
673.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
672.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
668.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
661.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
661.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
661.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
658.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
657.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
656.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
656.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
648.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
645.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
644.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
637.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
632.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
630.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
628.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
625.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
624.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
615.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
614.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
612.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
610.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
606.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
604.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
604.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
603.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
599.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
599.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
587.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
585.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
584.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
583.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
583.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
581.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
580.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
577.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
574.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
568.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
567.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
560.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
559.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
557.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
553.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
550.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
546.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
545.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
534.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
530.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
527.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
522.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
521.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
499.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
498.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
490.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
482.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
475.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
467.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
421.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
421.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
418.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
388.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 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.
RPL6 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
1349.0
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
4718.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
4455.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
3871.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3566.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
3526.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
3259.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
3065.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
3055.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2870.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2778.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
2757.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
2665.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
2615.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
2560.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2447.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2411.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
2308.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
2270.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
2262.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
2257.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
2193.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2174.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
2163.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
2145.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
2137.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
2127.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
2119.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2107.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
2099.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
2097.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
2083.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
2073.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
2020.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
2013.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1978.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1963.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
1957.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1933.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1931.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1909.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1896.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1844.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1832.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
1816.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
1809.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1783.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1781.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
1776.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
1770.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
1753.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1736.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
1721.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
1696.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1681.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1676.9
DO45275
65 years, male, NA, stage:3, dead, 10 days
1675.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
1674.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
1656.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
1654.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1654.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
1630.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
1622.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
1621.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
1619.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1603.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
1587.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
1561.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1550.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1548.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1537.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1536.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
1531.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
1523.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1517.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1515.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1513.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1512.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
1502.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1494.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
1492.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
1474.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1462.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1459.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1458.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
1445.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
1424.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1416.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
1403.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1393.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1386.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
1383.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
1380.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1377.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1375.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1374.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1373.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1372.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1366.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1356.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
1341.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1338.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
1275.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1266.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1258.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1257.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1256.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1242.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
1238.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1232.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
1193.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
1183.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1179.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
1177.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1164.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1160.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1149.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
1142.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
1137.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1136.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1131.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1130.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1124.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
1120.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
1119.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1110.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1094.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1093.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
1089.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1084.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
1083.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1081.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1080.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1077.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1075.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1075.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1073.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1071.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1059.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1050.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
1038.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
1019.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1015.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
1010.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1009.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
992.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
992.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
990.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
988.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
981.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
981.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
978.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
972.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
968.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
967.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
965.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
958.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
957.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
952.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
942.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
932.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
929.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
924.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
922.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
920.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
918.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
915.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
912.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
910.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
899.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
897.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
896.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
892.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
892.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
890.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
873.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
872.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
872.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
866.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
851.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
836.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
832.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
829.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
828.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
827.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
817.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
804.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
800.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
797.8
DO45229
74 years, male, NA, stage:1, alive, 990 days
791.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
790.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
783.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
775.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
770.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
759.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
755.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
751.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
751.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
740.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
733.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
733.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
733.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
717.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
713.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
711.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
699.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
678.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
653.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
649.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
645.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
641.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
638.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
636.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
625.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
615.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
614.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
609.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
606.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
599.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
591.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
569.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
564.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
558.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
550.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
514.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
503.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
403.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
402.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
365.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
362.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
322.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
222.7
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.7
685
Tumor
0.6
537
Tumor
0.5
965
Tumor
0.5
1021
Tumor
0.5
327
Tumor
0.5
851
Tumor
0.4
285
Tumor
0.4
223
Tumor
0.4
937
Tumor
0.4
983
Tumor
0.4
353
Tumor
0.4
957
Tumor
0.4
332
Normal
0.4
815
Tumor
0.4
535
Tumor
0.4
978
Normal
0.3
395
Tumor
0.3
951
Tumor
0.3
545
Tumor
0.3
135
Tumor
0.3
636
Normal
0.3
1014
Normal
0.3
1044
Normal
0.3
523
Tumor
0.3
567
Tumor
0.3
743
Tumor
0.3
227
Tumor
0.3
367
Tumor
0.3
267
Tumor
0.3
113
Tumor
0.3
1043
Tumor
0.3
331
Tumor
0.3
912
Normal
0.3
467
Tumor
0.3
528
Normal
0.3
443
Tumor
0.3
923
Tumor
0.3
393
Tumor
0.3
824
Normal
0.3
852
Normal
0.3
984
Normal
0.3
514
Normal
0.3
131
Tumor
0.3
481
Tumor
0.3
517
Tumor
0.3
314
Normal
0.3
865
Tumor
0.3
536
Normal
0.3
212
Normal
0.3
958
Normal
0.3
413
Tumor
0.3
745
Tumor
0.2
922
Normal
0.2
724
Normal
0.2
967
Tumor
0.2
218
Normal
0.2
981
Tumor
0.2
818
Normal
0.2
497
Tumor
0.2
777
Tumor
0.2
222
Normal
0.2
756
Normal
0.2
884
Normal
0.2
1026
Normal
0.2
1031
Tumor
0.2
1027
Tumor
0.2
214
Normal
0.2
286
Normal
0.2
864
Normal
0.2
436
Normal
0.2
966
Normal
0.2
955
Tumor
0.2
534
Normal
0.2
573
Tumor
0.2
356
Normal
0.2
387
Tumor
0.2
195
Tumor
0.2
916
Normal
0.2
546
Normal
0.2
778
Normal
0.2
432
Normal
0.2
953
Tumor
0.2
494
Normal
0.2
661
Tumor
0.2
817
Tumor
0.2
191
Tumor
0.2
524
Normal
0.2
746
Normal
0.2
572
Normal
0.2
924
Normal
0.2
526
Normal
0.2
982
Normal
0.2
213
Tumor
0.2
448
Normal
0.2
376
Normal
0.2
298
Normal
0.2
558
Normal
0.2
938
Normal
0.2
385
Tumor
0.2
284
Normal
0.2
921
Tumor
0.2
918
Normal
0.2
786
Normal
0.2
968
Normal
0.2
232
Normal
0.2
312
Normal
0.2
696
Normal
0.2
351
Tumor
0.2
525
Tumor
0.2
755
Tumor
0.2
697
Tumor
0.2
515
Tumor
0.2
866
Normal
0.2
278
Normal
0.2
462
Normal
0.2
513
Tumor
0.2
617
Tumor
0.2
221
Tumor
0.2
411
Tumor
0.2
358
Normal
0.2
926
Normal
0.2
447
Tumor
0.2
518
Normal
0.2
1025
Tumor
0.2
516
Normal
0.2
446
Normal
0.2
427
Tumor
0.2
721
Tumor
0.2
1022
Normal
0.1
433
Tumor
0.1
1016
Normal
0.1
217
Tumor
0.1
554
Normal
0.1
473
Tumor
0.1
1028
Normal
0.1
816
Normal
0.1
858
Normal
0.1
727
Tumor
0.1
628
Normal
0.1
128
Normal
0.1
568
Normal
0.1
136
Normal
0.1
145
Tumor
0.1
114
Normal
0.1
944
Normal
0.1
862
Normal
0.1
715
Tumor
0.1
471
Tumor
0.1
882
Normal
0.1
533
Tumor
0.1
352
Normal
0.1
1032
Normal
0.1
421
Tumor
0.1
728
Normal
0.1
913
Tumor
0.1
261
Tumor
0.1
414
Normal
0.1
785
Tumor
0.1
392
Normal
0.1
493
Tumor
0.1
857
Tumor
0.1
257
Tumor
0.1
412
Normal
0.1
714
Normal
0.1
466
Normal
0.1
488
Normal
0.1
564
Normal
0.1
262
Normal
0.1
1015
Tumor
0.1
426
Normal
0.1
738
Normal
0.1
484
Normal
0.1
258
Normal
0.1
737
Tumor
0.1
952
Normal
0.1
538
Normal
0.1
873
Tumor
0.1
635
Tumor
0.1
615
Tumor
0.1
571
Tumor
0.1
915
Tumor
0.1
878
Normal
0.1
648
Normal
0.1
368
Normal
0.1
671
Tumor
0.1
964
Normal
0.1
187
Tumor
0.1
111
Normal
0.1
664
Normal
0.1
474
Normal
0.1
1013
Tumor
0.1
434
Normal
0.1
362
Normal
0.1
172
Normal
0.1
716
Normal
0.1
196
Normal
0.1
723
Tumor
0.1
344
Normal
0.1
451
Tumor
0.1
662
Normal
0.1
452
Normal
0.1
422
Normal
0.1
384
Normal
0.1
618
Normal
0.1
1046
Normal
0.1
686
Normal
0.1
527
Tumor
0.1
742
Normal
0.1
616
Normal
0.1
672
Normal
0.1
868
Normal
0.1
228
Normal
0.1
132
Normal
0.1
277
Tumor
0.1
861
Tumor
0.1
137
Tumor
0.1
431
Tumor
0.1
435
Tumor
0.1
355
Tumor
0.1
943
Tumor
0.1
722
Normal
0.1
472
Normal
0.1
272
Normal
0.1
464
Normal
0.1
342
Normal
0.1
465
Tumor
0.0
963
Tumor
0.0
1041
Tumor
0.0
925
Tumor
0.0
881
Tumor
0.0
468
Normal
0.0
224
Normal
0.0
477
Tumor
0.0
126
Normal
0.0
483
Tumor
0.0
138
Normal
0.0
482
Normal
0.0
211
Tumor
0.0
1042
Normal
0.0
698
Normal
0.0
642
Normal
0.0
142
Normal
0.0
423
Tumor
0.0
975
Tumor
0.0
124
Normal
0.0
424
Normal
0.0
341
Tumor
0.0
123
Tumor
0.0
354
Normal
0.0
271
Tumor
0.0
461
Tumor
0.0
148
Normal
0.0
186
Normal
0.0
823
Tumor
0.0
574
Normal
0.0
162
Normal
0.0
112
Tumor
0.0
977
Tumor
0.0
231
Tumor
0.0
877
Tumor
0.0
641
Tumor
0.0
375
Tumor
0.0
425
Tumor
0.0
695
Tumor
0.0
147
Tumor
0.0
127
Tumor
0.0
146
Normal
0.0
366
Normal
0.0
444
Normal
0.0
883
Tumor
0.0
492
Normal
0.0
814
Normal
0.0
361
Tumor
0.0
954
Normal
0.0
463
Tumor
0.0
297
Tumor
0.0
445
Tumor
0.0
666
Normal
0.0
665
Tumor
0.0
428
Normal
0.0
956
Normal
0.0
188
Normal
0.0
744
Normal
0.0
813
Tumor
0.0
365
Tumor
0.0
874
Normal
0.0
455
Tumor
0.0
478
Normal
0.0
396
Normal
0.0
394
Normal
0.0
192
Normal
0.0
647
Tumor
0.0
713
Tumor
0.0
416
Normal
0.0
364
Normal
-0.1
388
Normal
-0.1
867
Tumor
-0.1
563
Tumor
-0.1
487
Tumor
-0.1
553
Tumor
-0.1
627
Tumor
-0.1
171
Tumor
-0.1
268
Normal
-0.1
357
Tumor
-0.1
663
Tumor
-0.1
311
Tumor
-0.1
914
Normal
-0.1
976
Normal
-0.1
141
Tumor
-0.1
363
Tumor
-0.1
456
Normal
-0.1
185
Tumor
-0.1
863
Tumor
-0.1
313
Tumor
-0.1
386
Normal
-0.1
391
Tumor
-0.1
161
Tumor
-0.1
911
Tumor
-0.1
415
Tumor
-0.1
328
Normal
-0.1
917
Tumor
-0.1
283
Tumor
-0.1
383
Tumor
-0.2
125
Tumor
-0.2
343
Tumor
-0.2
741
Tumor
-0.2
498
Normal
-0.2
1045
Tumor
-0.2
491
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.