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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.
RPL26 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1222.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4547.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
4409.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3958.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3900.7
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3833.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3792.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3790.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3715.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3712.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3630.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3578.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3490.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3463.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3235.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3175.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3162.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3116.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3091.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3040.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2955.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2946.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2943.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2737.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2613.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2494.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2482.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2468.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2453.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2356.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2355.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2310.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2306.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2302.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2260.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2232.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2216.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2166.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2132.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2129.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2098.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2060.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2011.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1945.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1945.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1830.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1829.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1818.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1817.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1813.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1812.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1807.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1805.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1779.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1768.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1755.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1749.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1747.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1740.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1735.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1729.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1726.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1725.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1724.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1722.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1701.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1696.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1690.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1675.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1628.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1610.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1594.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1592.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1592.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1584.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1582.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1553.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1537.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1522.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1517.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1514.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1512.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1510.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1506.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1482.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1479.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1472.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1467.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1463.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1453.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1446.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1444.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1437.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1424.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1424.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1422.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1420.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1416.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1416.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1412.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1393.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1387.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1385.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1364.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1352.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1348.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1344.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1333.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1328.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1323.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1320.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1318.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1318.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1317.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1307.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1300.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1295.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1294.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1292.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1290.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1289.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1287.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1271.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1270.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1270.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1267.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1251.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1243.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1242.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1240.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1239.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1238.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1227.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1223.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1220.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1219.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1218.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1217.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1217.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1215.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1212.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1212.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1211.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1207.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1196.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1188.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1186.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1181.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1181.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1156.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1146.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1136.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1135.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1127.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1122.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1116.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1115.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1113.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1110.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1110.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1109.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1106.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1103.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1101.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1096.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1093.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1092.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1090.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1090.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1084.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1084.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1082.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1067.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1059.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1055.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1039.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1039.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1037.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1037.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1033.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1026.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1023.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1023.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1012.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1010.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1000.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
997.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
996.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
991.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
981.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
974.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
973.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
971.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
969.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
968.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
967.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
966.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
961.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
957.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
957.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
956.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
952.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
949.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
949.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
949.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
946.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
944.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
937.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
937.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
929.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
923.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
923.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
918.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
916.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
915.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
915.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
913.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
908.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
902.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
897.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
895.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
894.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
890.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
879.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
876.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
874.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
874.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
873.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
860.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
858.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
857.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
855.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
852.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
843.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
843.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
811.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
811.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
808.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
807.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
807.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
807.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
805.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
804.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
796.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
787.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
779.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
774.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
770.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
768.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
767.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
765.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
762.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
758.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
749.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
748.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
748.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
748.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
748.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
743.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
741.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
740.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
734.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
734.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
731.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
730.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
730.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
727.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
725.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
723.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
723.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
721.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
718.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
717.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
715.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
708.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
706.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
704.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
702.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
701.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
700.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
693.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
686.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
682.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
679.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
679.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
675.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
658.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
656.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
656.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
655.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
650.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
649.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
648.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
646.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
645.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
644.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
642.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
638.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
638.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
636.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
634.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
633.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
627.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
626.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
624.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
623.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
615.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
613.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
613.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
611.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
609.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
603.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
602.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
593.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
592.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
589.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
588.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
580.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
577.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
576.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
576.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
574.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
570.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
570.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
566.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
563.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
557.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
555.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
555.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
551.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
545.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
536.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
514.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
505.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
500.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
500.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
497.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
497.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
496.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
489.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
473.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
471.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
467.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
461.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
456.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
450.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
441.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
440.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
434.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
433.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
423.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
417.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
411.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
388.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
386.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
373.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
351.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
349.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
348.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
346.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
325.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
281.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 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.
RPL26 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1473.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45303
62 years, female, NA, stage:3, alive, 990 days
8362.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
6783.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
4702.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
4589.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4512.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
4088.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
4074.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
3877.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
3736.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
3677.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
3664.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3394.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3202.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
3033.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
2992.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
2766.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
2729.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2669.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2663.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
2623.2
DO23542
66 years, male, NA, stage:3, alive, 960 days
2527.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
2489.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
2452.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
2448.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
2406.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2360.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2340.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
2298.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
2297.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
2292.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
2284.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2264.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
2264.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
2251.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
2249.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
2235.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
2217.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
2192.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
2186.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
2172.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2120.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2069.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2067.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
2030.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2024.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2013.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1974.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
1965.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1952.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1931.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1908.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
1906.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
1905.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1891.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
1889.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1875.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1864.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1859.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
1798.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
1792.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1776.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1756.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1719.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1714.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1699.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1690.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1685.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
1675.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1671.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
1653.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
1598.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1596.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1593.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
1591.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1572.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1562.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
1561.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
1552.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1540.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
1536.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
1533.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
1518.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
1478.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1469.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1467.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
1456.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1446.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
1441.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1430.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
1424.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1406.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1405.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1390.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
1388.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
1386.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1357.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
1355.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1345.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
1343.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1343.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
1342.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1339.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
1330.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1317.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1315.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1302.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1299.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1298.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
1269.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1268.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
1261.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1254.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
1250.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
1248.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
1243.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1224.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1220.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
1209.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
1206.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
1203.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1200.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1200.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
1192.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1178.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1176.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1174.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1162.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1158.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
1137.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
1133.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1130.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1126.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
1102.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1102.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1092.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
1074.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
1070.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
1069.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1060.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1059.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
1046.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
1028.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1024.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1017.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
1016.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1015.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1014.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1001.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
992.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
977.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
974.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
969.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
965.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
964.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
962.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
957.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
956.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
947.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
942.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
934.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
932.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
931.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
928.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
924.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
912.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
911.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
905.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
876.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
874.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
873.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
860.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
856.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
839.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
835.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
831.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
831.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
825.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
823.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
819.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
809.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
802.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
791.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
779.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
772.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
765.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
764.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
760.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
756.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
755.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
748.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
747.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
741.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
738.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
737.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
737.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
735.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
728.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
721.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
703.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
699.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
697.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
684.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
676.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
666.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
660.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
656.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
646.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
644.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
620.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
592.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
585.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
585.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
559.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
554.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
547.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
544.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
532.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
531.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
523.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
478.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
474.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
429.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
413.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
394.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
381.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
355.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
350.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
342.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
339.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
300.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
194.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
685
Tumor
0.6
537
Tumor
0.5
285
Tumor
0.5
131
Tumor
0.5
331
Tumor
0.5
327
Tumor
0.5
223
Tumor
0.5
1021
Tumor
0.5
135
Tumor
0.5
467
Tumor
0.4
965
Tumor
0.4
523
Tumor
0.4
661
Tumor
0.4
851
Tumor
0.4
113
Tumor
0.4
983
Tumor
0.4
367
Tumor
0.4
957
Tumor
0.4
528
Normal
0.4
743
Tumor
0.4
918
Normal
0.4
922
Normal
0.4
1025
Tumor
0.4
865
Tumor
0.4
955
Tumor
0.4
517
Tumor
0.4
497
Tumor
0.4
756
Normal
0.3
514
Normal
0.3
984
Normal
0.3
727
Tumor
0.3
958
Normal
0.3
937
Tumor
0.3
724
Normal
0.3
916
Normal
0.3
715
Tumor
0.3
696
Normal
0.3
777
Tumor
0.3
525
Tumor
0.3
545
Tumor
0.3
926
Normal
0.3
518
Normal
0.3
572
Normal
0.3
978
Normal
0.3
524
Normal
0.3
227
Tumor
0.3
567
Tumor
0.3
1031
Tumor
0.3
981
Tumor
0.3
815
Tumor
0.3
558
Normal
0.3
535
Tumor
0.3
944
Normal
0.3
951
Tumor
0.3
1043
Tumor
0.3
554
Normal
0.3
964
Normal
0.3
413
Tumor
0.3
481
Tumor
0.3
515
Tumor
0.3
136
Normal
0.3
191
Tumor
0.3
462
Normal
0.3
721
Tumor
0.3
533
Tumor
0.3
564
Normal
0.3
1027
Tumor
0.3
526
Normal
0.3
1032
Normal
0.3
473
Tumor
0.3
1044
Normal
0.3
636
Normal
0.3
1014
Normal
0.3
723
Tumor
0.2
912
Normal
0.2
493
Tumor
0.2
824
Normal
0.2
697
Tumor
0.2
713
Tumor
0.2
448
Normal
0.2
513
Tumor
0.2
527
Tumor
0.2
864
Normal
0.2
1026
Normal
0.2
778
Normal
0.2
866
Normal
0.2
785
Tumor
0.2
267
Tumor
0.2
728
Normal
0.2
221
Tumor
0.2
968
Normal
0.2
414
Normal
0.2
568
Normal
0.2
915
Tumor
0.2
421
Tumor
0.2
443
Tumor
0.2
1042
Normal
0.2
451
Tumor
0.2
546
Normal
0.2
966
Normal
0.2
923
Tumor
0.2
852
Normal
0.2
982
Normal
0.2
1022
Normal
0.2
716
Normal
0.2
353
Tumor
0.2
212
Normal
0.2
425
Tumor
0.2
746
Normal
0.2
1046
Normal
0.2
284
Normal
0.2
534
Normal
0.2
873
Tumor
0.2
436
Normal
0.2
516
Normal
0.2
722
Normal
0.2
358
Normal
0.2
553
Tumor
0.2
147
Tumor
0.2
213
Tumor
0.2
356
Normal
0.2
257
Tumor
0.2
474
Normal
0.2
277
Tumor
0.2
1015
Tumor
0.2
422
Normal
0.2
817
Tumor
0.2
952
Normal
0.2
924
Normal
0.2
482
Normal
0.2
218
Normal
0.2
921
Tumor
0.2
628
Normal
0.2
314
Normal
0.2
412
Normal
0.2
1016
Normal
0.2
714
Normal
0.2
195
Tumor
0.2
745
Tumor
0.2
447
Tumor
0.2
938
Normal
0.2
214
Normal
0.2
468
Normal
0.2
617
Tumor
0.2
884
Normal
0.2
428
Normal
0.2
286
Normal
0.2
738
Normal
0.1
786
Normal
0.1
967
Tumor
0.1
483
Tumor
0.1
228
Normal
0.1
222
Normal
0.1
393
Tumor
0.1
494
Normal
0.1
671
Tumor
0.1
976
Normal
0.1
145
Tumor
0.1
232
Normal
0.1
737
Tumor
0.1
616
Normal
0.1
818
Normal
0.1
172
Normal
0.1
862
Normal
0.1
466
Normal
0.1
953
Tumor
0.1
211
Tumor
0.1
446
Normal
0.1
455
Tumor
0.1
427
Tumor
0.1
484
Normal
0.1
536
Normal
0.1
755
Tumor
0.1
686
Normal
0.1
858
Normal
0.1
742
Normal
0.1
352
Normal
0.1
187
Tumor
0.1
142
Normal
0.1
124
Normal
0.1
463
Tumor
0.1
114
Normal
0.1
138
Normal
0.1
355
Tumor
0.1
618
Normal
0.1
954
Normal
0.1
975
Tumor
0.1
415
Tumor
0.1
488
Normal
0.1
137
Tumor
0.1
271
Tumor
0.1
574
Normal
0.1
943
Tumor
0.1
332
Normal
0.1
217
Tumor
0.1
312
Normal
0.1
224
Normal
0.1
492
Normal
0.1
351
Tumor
0.1
434
Normal
0.1
814
Normal
0.1
258
Normal
0.1
816
Normal
0.1
471
Tumor
0.1
963
Tumor
0.1
426
Normal
0.1
452
Normal
0.1
387
Tumor
0.1
573
Tumor
0.1
874
Normal
0.1
917
Tumor
0.1
128
Normal
0.1
882
Normal
0.1
913
Tumor
0.1
123
Tumor
0.1
698
Normal
0.1
615
Tumor
0.1
283
Tumor
0.1
196
Normal
0.1
362
Normal
0.1
376
Normal
0.1
478
Normal
0.1
1028
Normal
0.1
364
Normal
0.1
432
Normal
0.1
472
Normal
0.1
868
Normal
0.1
186
Normal
0.1
261
Tumor
0.1
162
Normal
0.1
424
Normal
0.1
648
Normal
0.1
664
Normal
0.1
395
Tumor
0.1
857
Tumor
0.1
642
Normal
0.1
665
Tumor
0.1
878
Normal
0.1
111
Normal
0.0
146
Normal
0.0
132
Normal
0.0
464
Normal
0.0
695
Tumor
0.0
231
Tumor
0.0
956
Normal
0.0
328
Normal
0.0
278
Normal
0.0
563
Tumor
0.0
861
Tumor
0.0
148
Normal
0.0
112
Tumor
0.0
385
Tumor
0.0
867
Tumor
0.0
538
Normal
0.0
392
Normal
0.0
672
Normal
0.0
431
Tumor
0.0
823
Tumor
0.0
456
Normal
0.0
262
Normal
0.0
344
Normal
0.0
925
Tumor
0.0
363
Tumor
0.0
663
Tumor
0.0
171
Tumor
0.0
433
Tumor
0.0
342
Normal
0.0
126
Normal
0.0
635
Tumor
0.0
416
Normal
0.0
647
Tumor
0.0
662
Normal
0.0
411
Tumor
0.0
461
Tumor
0.0
435
Tumor
0.0
188
Normal
0.0
465
Tumor
0.0
298
Normal
0.0
641
Tumor
0.0
366
Normal
0.0
185
Tumor
0.0
487
Tumor
0.0
141
Tumor
0.0
1041
Tumor
0.0
272
Normal
0.0
571
Tumor
0.0
883
Tumor
0.0
477
Tumor
0.0
161
Tumor
0.0
297
Tumor
0.0
127
Tumor
0.0
1013
Tumor
0.0
423
Tumor
-0.1
863
Tumor
-0.1
354
Normal
-0.1
813
Tumor
-0.1
666
Normal
-0.1
444
Normal
-0.1
384
Normal
-0.1
268
Normal
-0.1
375
Tumor
-0.1
881
Tumor
-0.1
744
Normal
-0.1
192
Normal
-0.1
313
Tumor
-0.1
368
Normal
-0.1
311
Tumor
-0.1
394
Normal
-0.1
125
Tumor
-0.1
365
Tumor
-0.1
1045
Tumor
-0.1
361
Tumor
-0.1
386
Normal
-0.1
445
Tumor
-0.1
498
Normal
-0.2
877
Tumor
-0.2
383
Tumor
-0.2
357
Tumor
-0.2
343
Tumor
-0.2
341
Tumor
-0.2
396
Normal
-0.2
977
Tumor
-0.2
388
Normal
-0.2
914
Normal
-0.2
491
Tumor
-0.3
741
Tumor
-0.3
627
Tumor
-0.3
911
Tumor
-0.3
391
Tumor
-0.3
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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.