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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.
RPS8 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
1284.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6512.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3954.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3872.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3675.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3624.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3571.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3558.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3146.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3139.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3009.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2996.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2881.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2876.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2855.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2809.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2779.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2770.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2750.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2729.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2714.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2673.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2672.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2662.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2653.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2569.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2545.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2538.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2533.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2506.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2471.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2456.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2439.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2409.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2395.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2386.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2374.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2355.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2308.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2293.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2253.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2245.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2239.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2150.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2149.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2130.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2116.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2087.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2065.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2044.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2034.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2025.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2005.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1989.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1987.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1983.3
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1980.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1967.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1937.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1906.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1889.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1877.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1876.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1861.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1855.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1845.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1806.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1779.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1769.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1764.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1753.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1717.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1713.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1653.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1650.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1642.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1640.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1640.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1613.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1594.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1585.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1571.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1565.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1564.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1551.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1544.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1540.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1514.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1509.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1505.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1490.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1488.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1484.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1481.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1477.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1465.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1450.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1445.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1444.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1436.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1434.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1433.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1414.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1397.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1397.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1393.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1391.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1378.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1376.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1371.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1368.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1360.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1356.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1347.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1340.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1340.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1338.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1338.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1337.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1336.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1332.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1327.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1326.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1319.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1295.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1291.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1282.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1280.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1278.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1272.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1270.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1267.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1267.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1260.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1259.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1258.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1251.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1249.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1238.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1237.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1237.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1235.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1235.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1226.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1220.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1218.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1214.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1210.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1207.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1207.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1203.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1203.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1201.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1194.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1185.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1181.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1171.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1146.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1145.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1140.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1136.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1134.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1127.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1125.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1121.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1119.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1115.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1113.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1108.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1106.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1093.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1092.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1091.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1091.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1088.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1086.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1084.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1076.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1076.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1073.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1071.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1069.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1065.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1062.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1061.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1060.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1057.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1054.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1054.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1054.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1050.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1050.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1048.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1047.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1045.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1040.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1037.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1031.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1024.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1022.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1021.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1016.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1012.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1011.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
997.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
996.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
993.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
990.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
987.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
986.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
985.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
979.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
975.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
970.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
970.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
964.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
964.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
964.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
962.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
961.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
960.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
958.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
956.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
955.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
951.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
946.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
942.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
939.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
936.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
931.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
930.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
930.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
929.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
928.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
926.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
924.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
924.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
924.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
919.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
891.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
888.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
884.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
878.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
877.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
875.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
874.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
869.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
868.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
868.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
864.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
863.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
862.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
853.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
853.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
853.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
849.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
846.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
842.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
841.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
840.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
839.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
838.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
838.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
835.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
835.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
832.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
828.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
828.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
825.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
825.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
818.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
815.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
813.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
812.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
809.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
808.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
806.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
803.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
800.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
800.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
800.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
799.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
799.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
796.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
794.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
792.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
790.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
783.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
775.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
775.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
774.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
772.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
769.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
769.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
762.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
760.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
752.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
739.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
734.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
733.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
731.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
725.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
719.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
716.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
716.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
708.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
705.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
703.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
699.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
697.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
686.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
682.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
680.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
679.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
675.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
671.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
665.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
663.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
661.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
660.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
656.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
653.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
647.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
647.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
645.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
643.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
633.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
621.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
618.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
617.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
614.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
612.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
606.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
604.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
604.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
599.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
596.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
596.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
589.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
569.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
559.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
555.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
553.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
550.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
543.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
541.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
539.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
533.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
530.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
528.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
525.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
520.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
515.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
513.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
511.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
472.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
467.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
465.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
449.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
438.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
420.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
372.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 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.
RPS8 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
1723.5
Number of samples
231
Samples
Sample
Description
pTPM
DO45303
62 years, female, NA, stage:3, alive, 990 days
4979.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
4681.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
4622.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
4556.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
4247.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
4217.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
4200.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
3984.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
3979.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
3818.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
3722.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
3695.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3568.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3562.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
3433.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
3262.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
3234.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3226.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
3213.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
3183.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
3173.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
3119.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
3096.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
3054.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
3033.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
2995.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
2946.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
2815.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2815.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
2808.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
2770.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
2738.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2729.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
2685.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
2674.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2667.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
2655.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2615.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
2538.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
2537.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
2530.8
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2488.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
2433.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2430.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2416.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
2330.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2330.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
2315.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2314.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
2312.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
2296.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2281.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
2240.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2238.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
2136.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
2121.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
2116.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
2093.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2074.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
2071.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
2058.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
2034.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
2034.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
2021.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1998.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1989.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
1971.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1947.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
1945.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
1945.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1936.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1935.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
1912.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
1907.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1899.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1892.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1881.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1875.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1865.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
1857.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
1854.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1847.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
1841.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
1817.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1814.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1812.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1802.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
1801.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
1800.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1777.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
1759.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
1757.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1753.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1744.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1741.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1732.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
1726.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
1714.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
1713.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
1711.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
1708.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1695.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
1639.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1619.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1613.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1588.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1586.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1581.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1573.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1572.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1542.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
1527.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
1523.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1495.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1479.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
1473.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
1470.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
1467.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
1462.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1458.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1456.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
1453.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1448.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
1433.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
1413.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1412.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1410.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1408.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1395.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
1389.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
1381.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1369.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1363.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1356.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1350.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1336.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
1329.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1323.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
1317.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1316.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1311.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1307.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1306.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1300.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1283.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1274.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1264.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
1262.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
1237.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1214.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
1211.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
1198.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1193.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1191.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
1179.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1175.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1165.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
1158.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1148.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
1137.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
1132.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
1129.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1126.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
1118.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
1114.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1109.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1109.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1099.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1081.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1071.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
1057.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1056.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1035.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
1027.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1011.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1009.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
993.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
989.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
988.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
970.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
969.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
958.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
956.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
953.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
949.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
945.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
944.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
932.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
922.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
908.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
905.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
899.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
898.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
884.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
881.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
871.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
867.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
864.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
862.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
859.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
845.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
839.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
834.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
829.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
806.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
801.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
797.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
784.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
780.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
779.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
778.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
774.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
763.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
762.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
751.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
745.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
724.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
705.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
700.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
689.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
660.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
657.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
650.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
620.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
604.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
532.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
507.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
481.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
464.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
457.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
416.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.4
567
Tumor
0.3
393
Tumor
0.3
557
Tumor
0.3
1021
Tumor
0.3
131
Tumor
0.3
223
Tumor
0.3
965
Tumor
0.3
367
Tumor
0.3
327
Tumor
0.3
937
Tumor
0.2
815
Tumor
0.2
452
Normal
0.2
113
Tumor
0.2
285
Tumor
0.2
467
Tumor
0.2
481
Tumor
0.2
1027
Tumor
0.2
387
Tumor
0.2
286
Normal
0.2
523
Tumor
0.2
685
Tumor
0.2
422
Normal
0.2
636
Normal
0.2
471
Tumor
0.2
473
Tumor
0.2
1014
Normal
0.2
212
Normal
0.2
981
Tumor
0.2
727
Tumor
0.2
978
Normal
0.2
983
Tumor
0.2
955
Tumor
0.2
463
Tumor
0.2
743
Tumor
0.2
745
Tumor
0.2
414
Normal
0.2
451
Tumor
0.2
545
Tumor
0.2
617
Tumor
0.2
524
Normal
0.2
926
Normal
0.2
331
Tumor
0.1
865
Tumor
0.1
284
Normal
0.1
464
Normal
0.1
554
Normal
0.1
426
Normal
0.1
195
Tumor
0.1
421
Tumor
0.1
466
Normal
0.1
723
Tumor
0.1
951
Tumor
0.1
526
Normal
0.1
497
Tumor
0.1
413
Tumor
0.1
737
Tumor
0.1
145
Tumor
0.1
267
Tumor
0.1
778
Normal
0.1
858
Normal
0.1
395
Tumor
0.1
824
Normal
0.1
957
Tumor
0.1
967
Tumor
0.1
1025
Tumor
0.1
135
Tumor
0.1
515
Tumor
0.1
128
Normal
0.1
744
Normal
0.1
227
Tumor
0.1
912
Normal
0.1
618
Normal
0.1
385
Tumor
0.1
851
Tumor
0.1
918
Normal
0.1
222
Normal
0.1
217
Tumor
0.1
191
Tumor
0.1
186
Normal
0.1
952
Normal
0.1
861
Tumor
0.1
922
Normal
0.1
746
Normal
0.1
1016
Normal
0.1
224
Normal
0.1
984
Normal
0.1
394
Normal
0.1
124
Normal
0.1
882
Normal
0.1
817
Tumor
0.1
534
Normal
0.1
353
Tumor
0.1
111
Normal
0.1
785
Tumor
0.1
968
Normal
0.1
533
Tumor
0.1
938
Normal
0.1
392
Normal
0.1
114
Normal
0.1
477
Tumor
0.1
187
Tumor
0.1
424
Normal
0.1
518
Normal
0.1
443
Tumor
0.1
356
Normal
0.1
1042
Normal
0.1
964
Normal
0.1
355
Tumor
0.1
514
Normal
0.1
517
Tumor
0.1
777
Tumor
0.1
738
Normal
0.1
696
Normal
0.1
277
Tumor
0.1
162
Normal
0.1
455
Tumor
0.1
343
Tumor
0.1
944
Normal
0.1
661
Tumor
0.1
488
Normal
0.0
474
Normal
0.0
332
Normal
0.0
923
Tumor
0.0
525
Tumor
0.0
278
Normal
0.0
755
Tumor
0.0
428
Normal
0.0
482
Normal
0.0
262
Normal
0.0
966
Normal
0.0
257
Tumor
0.0
136
Normal
0.0
648
Normal
0.0
546
Normal
0.0
527
Tumor
0.0
722
Normal
0.0
446
Normal
0.0
558
Normal
0.0
214
Normal
0.0
221
Tumor
0.0
434
Normal
0.0
1031
Tumor
0.0
412
Normal
0.0
916
Normal
0.0
427
Tumor
0.0
462
Normal
0.0
137
Tumor
0.0
445
Tumor
0.0
436
Normal
0.0
1026
Normal
0.0
228
Normal
0.0
852
Normal
0.0
232
Normal
0.0
271
Tumor
0.0
1015
Tumor
0.0
342
Normal
0.0
915
Tumor
0.0
411
Tumor
0.0
314
Normal
0.0
976
Normal
0.0
138
Normal
0.0
956
Normal
0.0
642
Normal
0.0
283
Tumor
0.0
147
Tumor
0.0
213
Tumor
0.0
728
Normal
0.0
535
Tumor
0.0
953
Tumor
0.0
982
Normal
0.0
756
Normal
0.0
715
Tumor
0.0
298
Normal
0.0
492
Normal
0.0
388
Normal
0.0
312
Normal
0.0
1028
Normal
0.0
125
Tumor
0.0
461
Tumor
0.0
172
Normal
0.0
816
Normal
0.0
472
Normal
0.0
358
Normal
0.0
423
Tumor
0.0
924
Normal
0.0
196
Normal
0.0
425
Tumor
0.0
376
Normal
0.0
1022
Normal
0.0
564
Normal
0.0
351
Tumor
0.0
878
Normal
0.0
917
Tumor
0.0
528
Normal
0.0
628
Normal
0.0
823
Tumor
0.0
538
Normal
0.0
697
Tumor
0.0
1032
Normal
0.0
516
Normal
0.0
494
Normal
0.0
1041
Tumor
0.0
686
Normal
0.0
391
Tumor
0.0
635
Tumor
0.0
963
Tumor
0.0
1044
Normal
0.0
386
Normal
0.0
188
Normal
0.0
724
Normal
0.0
432
Normal
0.0
954
Normal
0.0
448
Normal
0.0
365
Tumor
0.0
112
Tumor
0.0
1046
Normal
0.0
698
Normal
0.0
366
Normal
0.0
185
Tumor
0.0
1013
Tumor
0.0
161
Tumor
0.0
211
Tumor
0.0
1043
Tumor
0.0
444
Normal
0.0
468
Normal
0.0
574
Normal
0.0
568
Normal
0.0
884
Normal
0.0
127
Tumor
-0.1
148
Normal
-0.1
487
Tumor
-0.1
465
Tumor
-0.1
664
Normal
-0.1
368
Normal
-0.1
456
Normal
-0.1
913
Tumor
-0.1
864
Normal
-0.1
142
Normal
-0.1
272
Normal
-0.1
662
Normal
-0.1
363
Tumor
-0.1
573
Tumor
-0.1
572
Normal
-0.1
713
Tumor
-0.1
483
Tumor
-0.1
975
Tumor
-0.1
268
Normal
-0.1
484
Normal
-0.1
171
Tumor
-0.1
364
Normal
-0.1
914
Normal
-0.1
361
Tumor
-0.1
493
Tumor
-0.1
714
Normal
-0.1
716
Normal
-0.1
328
Normal
-0.1
958
Normal
-0.1
396
Normal
-0.1
877
Tumor
-0.1
925
Tumor
-0.1
627
Tumor
-0.1
911
Tumor
-0.1
313
Tumor
-0.1
375
Tumor
-0.1
218
Normal
-0.1
943
Tumor
-0.1
536
Normal
-0.1
813
Tumor
-0.1
873
Tumor
-0.1
921
Tumor
-0.1
258
Normal
-0.1
553
Tumor
-0.1
883
Tumor
-0.1
132
Normal
-0.1
866
Normal
-0.1
786
Normal
-0.1
478
Normal
-0.1
362
Normal
-0.1
513
Tumor
-0.1
666
Normal
-0.1
571
Tumor
-0.1
416
Normal
-0.1
862
Normal
-0.1
742
Normal
-0.1
357
Tumor
-0.1
615
Tumor
-0.1
695
Tumor
-0.1
672
Normal
-0.1
126
Normal
-0.1
344
Normal
-0.1
261
Tumor
-0.1
447
Tumor
-0.1
818
Normal
-0.1
231
Tumor
-0.1
616
Normal
-0.1
663
Tumor
-0.1
857
Tumor
-0.1
297
Tumor
-0.1
431
Tumor
-0.1
352
Normal
-0.1
433
Tumor
-0.1
491
Tumor
-0.1
671
Tumor
-0.1
977
Tumor
-0.1
123
Tumor
-0.1
146
Normal
-0.1
874
Normal
-0.2
192
Normal
-0.2
665
Tumor
-0.2
814
Normal
-0.2
647
Tumor
-0.2
141
Tumor
-0.2
868
Normal
-0.2
354
Normal
-0.2
435
Tumor
-0.2
498
Normal
-0.2
384
Normal
-0.2
721
Tumor
-0.2
867
Tumor
-0.2
881
Tumor
-0.2
415
Tumor
-0.2
563
Tumor
-0.2
311
Tumor
-0.2
341
Tumor
-0.2
741
Tumor
-0.3
383
Tumor
-0.3
641
Tumor
-0.3
1045
Tumor
-0.4
863
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.