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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.
RPL15 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
1235.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4178.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3369.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3299.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3263.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2988.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2973.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2963.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2920.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2904.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2853.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2834.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2743.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2674.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2659.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2577.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2559.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2521.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2480.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2416.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2327.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2305.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2267.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2259.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2226.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2201.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2122.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2105.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2088.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2074.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2064.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2057.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2039.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2036.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2029.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2002.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1983.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1980.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1976.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1956.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1927.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1917.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1893.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1884.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1884.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1879.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1876.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1866.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1866.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1861.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1845.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1818.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1805.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1797.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1793.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1790.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1778.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1770.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1762.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1759.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1753.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1752.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1739.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1737.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1736.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1734.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1734.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1709.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1690.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1687.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1659.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1653.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1652.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1642.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1626.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1625.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1611.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1609.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1599.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1591.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1590.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1582.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1578.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1547.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1535.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1522.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1503.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1497.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1495.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1490.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1485.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1476.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1466.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1464.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1458.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1458.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1458.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1457.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1455.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1442.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1431.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1427.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1418.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1414.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1413.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1397.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1395.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1377.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1363.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1361.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1355.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1347.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1339.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1331.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1327.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1326.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1324.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1324.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1322.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1313.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1310.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1306.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1299.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1285.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1284.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1283.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1281.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1277.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1273.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1260.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1259.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1257.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1257.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1256.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1255.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1251.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1251.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1241.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1233.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1232.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1232.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1231.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1231.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1220.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1219.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1216.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1210.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1208.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1205.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1202.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1196.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1192.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1191.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1187.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1185.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1183.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1176.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1172.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1171.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1170.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1168.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1161.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1154.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1150.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1149.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1144.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1143.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1138.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1134.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1132.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1127.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1115.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1113.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1108.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1096.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1094.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1094.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1091.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1090.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1088.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1087.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1084.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1083.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1079.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1077.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1072.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1066.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1061.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1061.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1056.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1052.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1051.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1050.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1046.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1046.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1043.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1040.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1033.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1033.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1025.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1024.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1021.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1020.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1019.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1013.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1013.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1012.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1009.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1006.3
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1002.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
995.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
989.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
984.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
982.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
982.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
982.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
980.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
975.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
973.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
973.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
971.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
971.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
970.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
968.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
963.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
963.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
963.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
961.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
957.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
954.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
953.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
952.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
945.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
944.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
944.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
942.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
936.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
935.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
933.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
929.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
919.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
918.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
918.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
917.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
916.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
914.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
912.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
909.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
900.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
892.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
883.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
875.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
875.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
871.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
870.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
870.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
866.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
865.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
864.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
860.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
860.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
856.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
853.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
848.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
847.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
840.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
840.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
838.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
834.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
833.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
825.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
822.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
821.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
820.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
819.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
816.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
816.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
813.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
812.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
806.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
805.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
804.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
803.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
800.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
797.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
795.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
790.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
788.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
788.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
785.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
781.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
779.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
777.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
775.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
773.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
771.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
769.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
767.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
763.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
741.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
737.8
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
737.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
734.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
734.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
733.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
726.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
726.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
725.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
724.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
721.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
719.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
719.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
718.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
706.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
706.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
705.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
700.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
692.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
690.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
690.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
685.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
683.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
679.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
676.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
674.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
672.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
671.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
669.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
667.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
665.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
665.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
663.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
660.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
659.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
655.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
647.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
643.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
638.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
632.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
630.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
623.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
621.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
615.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
610.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
605.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
604.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
601.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
601.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
595.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
595.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
594.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
591.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
583.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
573.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
573.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
561.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
517.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
497.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
486.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
464.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
430.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
420.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 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.
RPL15 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
642.6
Number of samples
231
Samples
Sample
Description
pTPM
DO45093
71 years, male, NA, stage:2, dead, 720 days
1661.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1647.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1470.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
1301.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
1298.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1280.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
1279.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
1197.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
1166.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1162.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1159.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
1155.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1117.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1096.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
1073.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1070.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1067.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1045.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1040.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
1030.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
1021.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
1017.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
1016.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
1014.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
984.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
979.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
973.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
963.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
952.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
951.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
921.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
919.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
917.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
909.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
902.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
901.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
896.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
891.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
890.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
860.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
858.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
858.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
853.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
851.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
839.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
816.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
816.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
815.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
813.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
798.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
798.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
793.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
791.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
779.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
776.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
775.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
770.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
768.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
765.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
757.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
750.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
747.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
743.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
743.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
741.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
739.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
736.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
736.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
731.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
726.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
725.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
722.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
719.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
718.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
718.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
713.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
710.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
710.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
702.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
702.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
701.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
701.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
699.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
698.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
696.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
695.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
693.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
693.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
692.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
690.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
690.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
690.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
689.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
688.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
687.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
684.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
679.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
679.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
677.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
677.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
670.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
662.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
650.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
648.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
642.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
638.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
637.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
636.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
636.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
635.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
633.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
632.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
624.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
621.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
620.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
614.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
611.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
604.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
601.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
596.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
590.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
587.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
587.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
585.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
585.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
582.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
582.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
577.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
576.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
574.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
570.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
569.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
564.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
560.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
558.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
558.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
549.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
542.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
542.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
541.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
539.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
536.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
530.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
528.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
526.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
521.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
512.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
512.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
509.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
504.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
501.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
496.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
492.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
488.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
488.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
486.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
486.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
485.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
481.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
480.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
479.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
478.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
476.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
473.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
465.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
463.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
462.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
457.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
456.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
451.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
442.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
442.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
437.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
432.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
428.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
427.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
420.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
419.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
418.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
416.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
415.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
414.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
411.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
407.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
405.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
402.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
398.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
398.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
397.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
392.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
389.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
387.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
385.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
384.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
383.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
379.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
370.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
366.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
366.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
364.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
364.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
362.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
361.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
361.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
358.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
357.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
357.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
352.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
352.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
343.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
342.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
341.2
DO23517
62 years, male, NA, stage:2, alive, 1200 days
339.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
336.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
333.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
331.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
329.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
328.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
328.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
322.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
313.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
312.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
311.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
310.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
294.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
292.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
290.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
270.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
263.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
177.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
173.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.8
537
Tumor
0.6
367
Tumor
0.5
1021
Tumor
0.5
567
Tumor
0.5
661
Tumor
0.5
467
Tumor
0.4
937
Tumor
0.4
851
Tumor
0.4
523
Tumor
0.4
327
Tumor
0.4
685
Tumor
0.4
331
Tumor
0.4
135
Tumor
0.4
395
Tumor
0.4
223
Tumor
0.4
353
Tumor
0.4
113
Tumor
0.4
955
Tumor
0.4
815
Tumor
0.3
285
Tumor
0.3
227
Tumor
0.3
983
Tumor
0.3
558
Normal
0.3
131
Tumor
0.3
865
Tumor
0.3
824
Normal
0.3
1027
Tumor
0.3
413
Tumor
0.3
617
Tumor
0.3
978
Normal
0.3
267
Tumor
0.3
545
Tumor
0.3
636
Normal
0.3
572
Normal
0.3
965
Tumor
0.3
756
Normal
0.3
517
Tumor
0.3
573
Tumor
0.3
745
Tumor
0.3
981
Tumor
0.3
515
Tumor
0.3
191
Tumor
0.3
136
Normal
0.3
944
Normal
0.3
951
Tumor
0.3
1031
Tumor
0.3
443
Tumor
0.3
524
Normal
0.2
1014
Normal
0.2
777
Tumor
0.2
332
Normal
0.2
393
Tumor
0.2
145
Tumor
0.2
938
Normal
0.2
414
Normal
0.2
568
Normal
0.2
518
Normal
0.2
232
Normal
0.2
466
Normal
0.2
526
Normal
0.2
864
Normal
0.2
314
Normal
0.2
957
Tumor
0.2
696
Normal
0.2
858
Normal
0.2
1046
Normal
0.2
212
Normal
0.2
984
Normal
0.2
257
Tumor
0.2
376
Normal
0.2
564
Normal
0.2
214
Normal
0.2
918
Normal
0.2
525
Tumor
0.2
427
Tumor
0.2
436
Normal
0.2
533
Tumor
0.2
431
Tumor
0.2
527
Tumor
0.2
671
Tumor
0.2
448
Normal
0.2
172
Normal
0.2
778
Normal
0.2
196
Normal
0.2
142
Normal
0.2
724
Normal
0.2
954
Normal
0.2
481
Tumor
0.2
535
Tumor
0.2
312
Normal
0.2
1026
Normal
0.2
866
Normal
0.2
926
Normal
0.2
218
Normal
0.2
882
Normal
0.2
1025
Tumor
0.2
286
Normal
0.2
358
Normal
0.2
385
Tumor
0.2
628
Normal
0.2
213
Tumor
0.2
755
Tumor
0.2
923
Tumor
0.2
455
Tumor
0.2
284
Normal
0.2
1042
Normal
0.2
471
Tumor
0.2
497
Tumor
0.2
425
Tumor
0.2
195
Tumor
0.2
421
Tumor
0.2
434
Normal
0.2
1032
Normal
0.2
352
Normal
0.2
953
Tumor
0.2
221
Tumor
0.2
852
Normal
0.2
513
Tumor
0.2
222
Normal
0.2
528
Normal
0.2
922
Normal
0.2
422
Normal
0.2
433
Tumor
0.2
424
Normal
0.2
982
Normal
0.2
1015
Tumor
0.2
571
Tumor
0.2
727
Tumor
0.2
187
Tumor
0.2
362
Normal
0.2
478
Normal
0.2
713
Tumor
0.2
387
Tumor
0.2
426
Normal
0.2
432
Normal
0.2
494
Normal
0.1
351
Tumor
0.1
356
Normal
0.1
298
Normal
0.1
114
Normal
0.1
1044
Normal
0.1
162
Normal
0.1
272
Normal
0.1
546
Normal
0.1
715
Tumor
0.1
722
Normal
0.1
665
Tumor
0.1
111
Normal
0.1
664
Normal
0.1
412
Normal
0.1
662
Normal
0.1
148
Normal
0.1
743
Tumor
0.1
451
Tumor
0.1
818
Normal
0.1
534
Normal
0.1
128
Normal
0.1
228
Normal
0.1
516
Normal
0.1
873
Tumor
0.1
262
Normal
0.1
785
Tumor
0.1
462
Normal
0.1
261
Tumor
0.1
258
Normal
0.1
728
Normal
0.1
137
Tumor
0.1
446
Normal
0.1
231
Tumor
0.1
536
Normal
0.1
514
Normal
0.1
186
Normal
0.1
171
Tumor
0.1
686
Normal
0.1
411
Tumor
0.1
648
Normal
0.1
746
Normal
0.1
217
Tumor
0.1
1028
Normal
0.1
563
Tumor
0.1
697
Tumor
0.1
278
Normal
0.1
123
Tumor
0.1
786
Normal
0.1
423
Tumor
0.1
966
Normal
0.1
958
Normal
0.1
138
Normal
0.1
132
Normal
0.1
474
Normal
0.1
124
Normal
0.1
1022
Normal
0.1
1016
Normal
0.1
328
Normal
0.1
574
Normal
0.1
447
Tumor
0.1
916
Normal
0.1
943
Tumor
0.1
554
Normal
0.1
738
Normal
0.1
618
Normal
0.1
355
Tumor
0.1
468
Normal
0.1
737
Tumor
0.1
277
Tumor
0.1
924
Normal
0.1
428
Normal
0.1
464
Normal
0.1
698
Normal
0.1
224
Normal
0.1
878
Normal
0.1
488
Normal
0.1
862
Normal
0.1
647
Tumor
0.1
714
Normal
0.1
375
Tumor
0.1
188
Normal
0.1
967
Tumor
0.1
126
Normal
0.1
817
Tumor
0.1
484
Normal
0.1
723
Tumor
0.1
976
Normal
0.1
297
Tumor
0.1
364
Normal
0.1
952
Normal
0.1
968
Normal
0.1
211
Tumor
0.1
146
Normal
0.1
394
Normal
0.1
695
Tumor
0.1
271
Tumor
0.1
452
Normal
0.1
392
Normal
0.1
147
Tumor
0.0
912
Normal
0.0
342
Normal
0.0
493
Tumor
0.0
881
Tumor
0.0
857
Tumor
0.0
964
Normal
0.0
456
Normal
0.0
915
Tumor
0.0
716
Normal
0.0
465
Tumor
0.0
472
Normal
0.0
1013
Tumor
0.0
492
Normal
0.0
663
Tumor
0.0
141
Tumor
0.0
482
Normal
0.0
344
Normal
0.0
672
Normal
0.0
112
Tumor
0.0
463
Tumor
0.0
616
Normal
0.0
1043
Tumor
0.0
913
Tumor
0.0
975
Tumor
0.0
823
Tumor
0.0
354
Normal
0.0
921
Tumor
0.0
313
Tumor
0.0
666
Normal
0.0
384
Normal
0.0
884
Normal
0.0
477
Tumor
0.0
861
Tumor
0.0
874
Normal
0.0
721
Tumor
0.0
1041
Tumor
0.0
538
Normal
0.0
483
Tumor
0.0
553
Tumor
0.0
368
Normal
0.0
867
Tumor
0.0
816
Normal
0.0
341
Tumor
0.0
161
Tumor
0.0
185
Tumor
0.0
642
Normal
0.0
357
Tumor
0.0
363
Tumor
0.0
742
Normal
0.0
956
Normal
0.0
814
Normal
0.0
127
Tumor
0.0
461
Tumor
0.0
877
Tumor
0.0
925
Tumor
0.0
365
Tumor
0.0
435
Tumor
0.0
917
Tumor
0.0
963
Tumor
0.0
396
Normal
0.0
487
Tumor
-0.1
416
Normal
-0.1
268
Normal
-0.1
977
Tumor
-0.1
635
Tumor
-0.1
473
Tumor
-0.1
615
Tumor
-0.1
343
Tumor
-0.1
445
Tumor
-0.1
641
Tumor
-0.1
883
Tumor
-0.1
361
Tumor
-0.1
283
Tumor
-0.1
415
Tumor
-0.1
386
Normal
-0.1
388
Normal
-0.1
744
Normal
-0.1
311
Tumor
-0.1
192
Normal
-0.1
444
Normal
-0.1
813
Tumor
-0.1
125
Tumor
-0.1
498
Normal
-0.1
366
Normal
-0.1
391
Tumor
-0.1
491
Tumor
-0.2
1045
Tumor
-0.2
383
Tumor
-0.2
914
Normal
-0.2
863
Tumor
-0.2
868
Normal
-0.3
911
Tumor
-0.3
627
Tumor
-0.3
741
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.