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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.
RPS3A is potential 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
1202.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6969.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5150.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4801.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4038.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3933.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3690.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3514.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3403.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3399.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3234.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3028.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3019.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2872.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2869.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2792.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2766.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2743.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2636.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2573.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2548.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2496.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2475.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2424.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2399.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2361.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2360.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2322.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2292.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2269.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
2238.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2158.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2136.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2100.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2098.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2090.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2075.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2065.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2055.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2046.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2042.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2032.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2027.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2012.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1952.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1939.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1900.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1890.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1880.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1857.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1854.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1784.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1783.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1766.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1747.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1727.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1717.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1702.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1695.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1693.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1686.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1686.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1663.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1645.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1645.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1630.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1625.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1624.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1620.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1611.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1603.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1602.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1601.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1579.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1579.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1571.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1552.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1542.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1524.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1513.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1512.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1505.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1500.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1497.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1496.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1484.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1482.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1480.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1474.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1456.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1440.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1436.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1433.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1424.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1423.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1417.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1414.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1411.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1386.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1378.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1365.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1352.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1343.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1340.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1330.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1328.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1322.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1317.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1309.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1295.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1293.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1292.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1282.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1276.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1273.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1270.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1264.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1262.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1257.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1255.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1251.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1250.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1248.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1246.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1245.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1226.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1224.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1223.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1220.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1213.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1210.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1206.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1204.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1201.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1193.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1176.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1173.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1171.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1160.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1159.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1150.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1145.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1143.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1139.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1133.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1127.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1124.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1121.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1121.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1118.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1116.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1115.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1113.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1095.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1087.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1082.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1081.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1077.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1074.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1073.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1071.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1070.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1066.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1062.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1061.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1060.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1059.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1055.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1040.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1038.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1037.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1035.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1031.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1029.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1028.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1026.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1023.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1022.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1020.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1019.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1016.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1016.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1008.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1007.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1003.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1000.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
998.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
996.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
995.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
990.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
990.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
989.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
983.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
981.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
981.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
977.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
975.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
971.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
970.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
959.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
956.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
952.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
940.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
940.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
931.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
929.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
922.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
916.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
914.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
909.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
907.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
903.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
902.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
902.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
895.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
894.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
892.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
885.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
884.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
878.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
872.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
863.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
853.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
850.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
847.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
846.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
845.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
844.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
835.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
831.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
824.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
823.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
817.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
813.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
812.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
808.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
807.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
807.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
801.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
800.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
797.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
795.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
794.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
794.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
794.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
794.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
792.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
791.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
781.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
781.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
779.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
774.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
774.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
774.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
773.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
771.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
769.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
769.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
766.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
762.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
762.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
760.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
757.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
751.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
751.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
750.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
750.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
750.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
746.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
745.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
742.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
739.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
733.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
731.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
724.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
720.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
720.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
713.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
713.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
709.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
709.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
709.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
707.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
704.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
703.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
698.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
697.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
696.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
692.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
687.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
686.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
678.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
677.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
671.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
670.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
665.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
655.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
652.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
651.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
643.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
630.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
630.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
628.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
625.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
624.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
620.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
617.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
617.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
612.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
608.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
604.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
603.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
600.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
591.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
590.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
590.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
580.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
577.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
568.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
566.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
565.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
561.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
550.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
550.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
547.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
547.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
545.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
544.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
542.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
541.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
535.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
534.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
531.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
529.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
522.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
522.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
520.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
512.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
497.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
492.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
489.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
488.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
482.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
481.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
472.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
470.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
460.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
459.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
458.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
457.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
456.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
453.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
442.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
440.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
438.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
437.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
426.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
395.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
390.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
380.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
345.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
342.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 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.
RPS3A is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1492.3
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
5457.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
4850.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
4539.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
4463.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
4186.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
4036.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
3870.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
3632.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
3515.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3507.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3443.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
3333.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3320.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3270.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
3240.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
3145.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3124.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
3049.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
3028.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
2976.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
2960.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
2921.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
2906.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
2840.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
2745.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
2705.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2697.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
2654.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
2570.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
2453.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2439.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2436.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2429.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
2427.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
2424.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
2350.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
2334.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2260.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
2240.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
2230.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2170.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
2170.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2167.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
2123.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
2122.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
2119.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
2100.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
2083.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
2073.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
2037.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
2004.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1968.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1941.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1937.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
1888.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
1876.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1848.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1837.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1834.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1767.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1767.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
1766.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1751.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1732.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1705.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
1697.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1667.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
1662.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1658.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
1640.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
1640.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1637.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1633.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1613.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1609.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
1593.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1584.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1580.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
1574.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1571.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
1542.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
1532.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
1525.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1524.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1514.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1514.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
1503.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
1498.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
1481.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
1478.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1471.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1450.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1444.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1441.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1436.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1427.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1419.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
1417.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1410.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
1405.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
1374.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1371.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1368.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1357.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1350.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
1332.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1304.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1304.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1303.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
1298.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
1297.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1296.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1296.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
1290.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
1283.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1267.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1250.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1231.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1230.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1192.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1190.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1180.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1179.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
1171.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1170.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1165.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1162.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
1147.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
1145.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
1144.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1142.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1141.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
1136.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1122.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
1115.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
1094.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1083.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1075.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1065.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
1064.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1057.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1056.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1056.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1056.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
1052.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1050.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
1048.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
1033.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
1021.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1018.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
1017.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1009.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
995.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
992.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
992.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
981.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
964.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
958.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
953.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
952.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
931.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
927.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
923.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
920.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
912.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
910.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
908.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
890.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
890.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
889.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
880.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
873.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
871.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
865.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
864.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
863.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
852.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
842.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
839.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
832.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
818.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
818.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
817.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
811.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
809.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
794.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
790.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
786.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
784.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
777.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
750.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
743.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
742.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
742.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
731.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
723.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
720.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
720.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
702.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
701.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
688.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
674.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
667.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
647.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
640.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
623.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
607.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
603.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
599.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
591.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
587.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
558.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
550.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
548.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
546.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
540.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
526.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
485.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
481.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
475.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
429.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
424.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
418.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
408.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
356.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
316.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
304.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
247.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
226.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
224.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
155.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.6
557
Tumor
0.5
1021
Tumor
0.4
327
Tumor
0.4
965
Tumor
0.4
567
Tumor
0.3
851
Tumor
0.3
1027
Tumor
0.3
937
Tumor
0.3
367
Tumor
0.3
727
Tumor
0.3
815
Tumor
0.3
523
Tumor
0.3
636
Normal
0.3
661
Tumor
0.3
285
Tumor
0.3
393
Tumor
0.3
524
Normal
0.3
1025
Tumor
0.3
113
Tumor
0.3
777
Tumor
0.3
967
Tumor
0.3
481
Tumor
0.3
697
Tumor
0.3
957
Tumor
0.3
497
Tumor
0.3
685
Tumor
0.2
131
Tumor
0.2
533
Tumor
0.2
955
Tumor
0.2
353
Tumor
0.2
535
Tumor
0.2
494
Normal
0.2
1032
Normal
0.2
1022
Normal
0.2
331
Tumor
0.2
528
Normal
0.2
223
Tumor
0.2
922
Normal
0.2
983
Tumor
0.2
1031
Tumor
0.2
984
Normal
0.2
743
Tumor
0.2
212
Normal
0.2
1014
Normal
0.2
267
Tumor
0.2
554
Normal
0.2
534
Normal
0.2
918
Normal
0.2
536
Normal
0.2
135
Tumor
0.2
756
Normal
0.2
546
Normal
0.2
778
Normal
0.2
824
Normal
0.2
467
Tumor
0.2
527
Tumor
0.2
545
Tumor
0.2
488
Normal
0.2
387
Tumor
0.2
745
Tumor
0.2
978
Normal
0.2
926
Normal
0.2
951
Tumor
0.2
484
Normal
0.2
724
Normal
0.2
938
Normal
0.2
982
Normal
0.2
916
Normal
0.2
514
Normal
0.2
473
Tumor
0.2
785
Tumor
0.2
686
Normal
0.2
721
Tumor
0.2
723
Tumor
0.2
866
Normal
0.2
864
Normal
0.2
958
Normal
0.2
395
Tumor
0.2
515
Tumor
0.2
923
Tumor
0.2
518
Normal
0.2
746
Normal
0.2
944
Normal
0.2
517
Tumor
0.2
412
Normal
0.2
448
Normal
0.2
525
Tumor
0.2
1026
Normal
0.2
728
Normal
0.2
573
Tumor
0.2
462
Normal
0.2
355
Tumor
0.2
1044
Normal
0.1
526
Normal
0.1
1028
Normal
0.1
284
Normal
0.1
862
Normal
0.1
617
Tumor
0.1
968
Normal
0.1
385
Tumor
0.1
952
Normal
0.1
351
Tumor
0.1
953
Tumor
0.1
966
Normal
0.1
466
Normal
0.1
981
Tumor
0.1
738
Normal
0.1
924
Normal
0.1
142
Normal
0.1
742
Normal
0.1
413
Tumor
0.1
356
Normal
0.1
558
Normal
0.1
227
Tumor
0.1
865
Tumor
0.1
482
Normal
0.1
912
Normal
0.1
1016
Normal
0.1
553
Tumor
0.1
628
Normal
0.1
568
Normal
0.1
882
Normal
0.1
755
Tumor
0.1
422
Normal
0.1
696
Normal
0.1
786
Normal
0.1
332
Normal
0.1
492
Normal
0.1
964
Normal
0.1
314
Normal
0.1
858
Normal
0.1
713
Tumor
0.1
943
Tumor
0.1
195
Tumor
0.1
873
Tumor
0.1
516
Normal
0.1
921
Tumor
0.1
414
Normal
0.1
228
Normal
0.1
852
Normal
0.1
232
Normal
0.1
493
Tumor
0.1
415
Tumor
0.1
648
Normal
0.1
616
Normal
0.1
913
Tumor
0.1
426
Normal
0.1
1043
Tumor
0.1
136
Normal
0.1
286
Normal
0.1
191
Tumor
0.1
737
Tumor
0.1
421
Tumor
0.1
257
Tumor
0.1
664
Normal
0.1
1046
Normal
0.1
917
Tumor
0.1
671
Tumor
0.1
447
Tumor
0.1
474
Normal
0.1
816
Normal
0.1
698
Normal
0.1
878
Normal
0.1
137
Tumor
0.1
715
Tumor
0.1
538
Normal
0.1
214
Normal
0.1
925
Tumor
0.1
132
Normal
0.1
411
Tumor
0.1
857
Tumor
0.1
915
Tumor
0.1
487
Tumor
0.1
392
Normal
0.1
884
Normal
0.1
714
Normal
0.1
695
Tumor
0.1
954
Normal
0.1
716
Normal
0.1
571
Tumor
0.1
452
Normal
0.1
394
Normal
0.1
471
Tumor
0.1
376
Normal
0.1
145
Tumor
0.1
1015
Tumor
0.1
352
Normal
0.1
817
Tumor
0.1
572
Normal
0.1
114
Normal
0.0
1041
Tumor
0.0
364
Normal
0.0
187
Tumor
0.0
1042
Normal
0.0
662
Normal
0.0
956
Normal
0.0
231
Tumor
0.0
818
Normal
0.0
666
Normal
0.0
464
Normal
0.0
436
Normal
0.0
358
Normal
0.0
564
Normal
0.0
428
Normal
0.0
443
Tumor
0.0
363
Tumor
0.0
513
Tumor
0.0
342
Normal
0.0
424
Normal
0.0
647
Tumor
0.0
868
Normal
0.0
877
Tumor
0.0
147
Tumor
0.0
472
Normal
0.0
312
Normal
0.0
138
Normal
0.0
328
Normal
0.0
861
Tumor
0.0
186
Normal
0.0
128
Normal
0.0
618
Normal
0.0
111
Normal
0.0
975
Tumor
0.0
451
Tumor
0.0
976
Normal
0.0
665
Tumor
0.0
218
Normal
0.0
222
Normal
0.0
112
Tumor
0.0
224
Normal
0.0
867
Tumor
0.0
483
Tumor
0.0
722
Normal
0.0
211
Tumor
0.0
172
Normal
0.0
388
Normal
0.0
663
Tumor
0.0
427
Tumor
0.0
272
Normal
0.0
277
Tumor
0.0
881
Tumor
0.0
642
Normal
0.0
258
Normal
0.0
196
Normal
0.0
432
Normal
0.0
221
Tumor
0.0
366
Normal
0.0
368
Normal
0.0
963
Tumor
0.0
124
Normal
0.0
463
Tumor
0.0
477
Tumor
0.0
278
Normal
0.0
344
Normal
0.0
423
Tumor
0.0
672
Normal
0.0
883
Tumor
0.0
127
Tumor
0.0
574
Normal
0.0
271
Tumor
0.0
914
Normal
0.0
396
Normal
0.0
262
Normal
0.0
456
Normal
0.0
162
Normal
0.0
362
Normal
0.0
465
Tumor
0.0
298
Normal
0.0
425
Tumor
0.0
213
Tumor
0.0
813
Tumor
0.0
171
Tumor
0.0
365
Tumor
0.0
431
Tumor
0.0
874
Normal
0.0
615
Tumor
0.0
478
Normal
0.0
446
Normal
0.0
354
Normal
0.0
141
Tumor
-0.1
361
Tumor
-0.1
455
Tumor
-0.1
416
Normal
-0.1
148
Normal
-0.1
635
Tumor
-0.1
445
Tumor
-0.1
375
Tumor
-0.1
468
Normal
-0.1
343
Tumor
-0.1
1013
Tumor
-0.1
261
Tumor
-0.1
126
Normal
-0.1
313
Tumor
-0.1
434
Normal
-0.1
297
Tumor
-0.1
461
Tumor
-0.1
146
Normal
-0.1
433
Tumor
-0.1
311
Tumor
-0.1
386
Normal
-0.1
823
Tumor
-0.1
814
Normal
-0.1
391
Tumor
-0.1
188
Normal
-0.1
217
Tumor
-0.1
357
Tumor
-0.1
268
Normal
-0.1
125
Tumor
-0.1
283
Tumor
-0.1
435
Tumor
-0.1
744
Normal
-0.1
498
Normal
-0.1
977
Tumor
-0.1
491
Tumor
-0.1
563
Tumor
-0.1
185
Tumor
-0.1
123
Tumor
-0.1
384
Normal
-0.1
863
Tumor
-0.1
444
Normal
-0.1
1045
Tumor
-0.1
341
Tumor
-0.1
627
Tumor
-0.2
641
Tumor
-0.2
741
Tumor
-0.2
161
Tumor
-0.2
383
Tumor
-0.2
192
Normal
-0.2
911
Tumor
-0.2
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
