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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.
RPS10 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1573.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6703.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6461.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
6321.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5880.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5336.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4766.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4741.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4680.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4667.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4401.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4291.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
4205.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
4181.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3995.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3956.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3925.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3886.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3704.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3569.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3560.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3541.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3527.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3495.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3401.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3185.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3109.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3105.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3086.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3053.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3003.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2923.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2890.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2840.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2837.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2776.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2770.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2754.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2726.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2712.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2672.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2662.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2660.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2627.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2618.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2597.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2586.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2553.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2537.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2525.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2520.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2516.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2510.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2503.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2498.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2463.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2453.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2430.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2425.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2376.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2372.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2361.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2358.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2331.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2328.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2325.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2321.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2309.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2261.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2240.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2218.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2213.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2212.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2200.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2157.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2144.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2113.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2109.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2106.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2086.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2058.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2052.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2051.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2048.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2044.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2030.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2024.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2012.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1969.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1950.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1945.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1937.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1935.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1919.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1912.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1899.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1881.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1872.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1866.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1835.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1831.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1827.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1826.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1814.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1793.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1788.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1774.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1757.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1749.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1736.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1732.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1731.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1730.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1730.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1719.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1713.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1694.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1690.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1687.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1677.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1676.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1667.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1665.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1649.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1633.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1632.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1627.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1619.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1617.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1617.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1615.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1600.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1580.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1570.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1568.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1563.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1562.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1546.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1545.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1542.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1525.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1513.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1506.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1498.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1497.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1494.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1485.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1485.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1478.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1474.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1470.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1469.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1463.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1449.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1447.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1443.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1438.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1429.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1401.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1394.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1390.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1387.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1385.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1383.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1380.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1371.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1371.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1362.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1349.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1349.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1342.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1339.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1329.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1316.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1306.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1288.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1282.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1266.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1262.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1262.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1260.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1255.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1254.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1244.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1243.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1240.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1239.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1238.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1236.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1236.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1232.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1219.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1219.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1210.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1209.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1205.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1198.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1197.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1196.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1193.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1191.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1179.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1179.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1167.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1150.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1150.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1148.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1145.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1144.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1137.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1137.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1120.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1117.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1116.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1110.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1106.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1104.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1099.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1085.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1076.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1074.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1074.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1071.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1064.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1064.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1048.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1047.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1044.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1034.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1031.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1024.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1016.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1013.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1009.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1008.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1007.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1003.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
997.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
994.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
990.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
988.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
987.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
987.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
984.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
984.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
983.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
982.5
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
978.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
975.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
972.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
970.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
963.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
963.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
960.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
952.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
949.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
942.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
939.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
938.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
937.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
927.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
922.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
916.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
911.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
907.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
906.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
906.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
905.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
904.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
903.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
896.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
895.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
895.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
893.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
892.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
883.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
882.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
879.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
872.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
865.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
854.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
851.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
850.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
839.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
833.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
832.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
829.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
813.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
808.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
805.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
798.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
796.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
795.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
794.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
789.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
788.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
786.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
785.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
783.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
781.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
770.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
766.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
755.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
752.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
738.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
735.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
732.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
730.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
728.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
724.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
724.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
721.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
719.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
713.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
709.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
706.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
702.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
698.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
692.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
691.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
687.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
671.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
669.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
669.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
663.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
662.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
661.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
661.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
653.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
652.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
649.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
647.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
643.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
638.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
624.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
620.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
619.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
598.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
584.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
582.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
581.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
573.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
568.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
564.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
553.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
553.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
551.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
550.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
550.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
549.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
539.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
518.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
516.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
504.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
490.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
478.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
473.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
472.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
463.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
445.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
437.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
437.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 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.
RPS10 is potential 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
1319.6
Number of samples
231
Samples
Sample
Description
pTPM
DO50785
37 years, male, NA, stage:4, dead, 90 days
9031.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
5307.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4294.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4084.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
3990.8
DO50814
83 years, male, NA, stage:3, alive, 420 days
3939.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
3732.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
3654.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
3476.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3404.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
3097.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
3079.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3032.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
2847.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2808.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
2775.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2686.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
2642.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
2596.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
2592.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
2555.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2464.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
2438.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
2336.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
2249.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
2225.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
2217.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
2151.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
2146.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
2111.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2110.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
2096.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2092.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
2072.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
2070.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2056.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
2048.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
2018.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
1986.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
1973.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
1953.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
1861.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
1841.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
1824.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1802.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1773.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
1754.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
1747.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1746.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1746.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
1725.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
1712.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1709.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1702.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
1672.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1637.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1617.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
1600.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1583.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
1579.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1560.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1533.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
1528.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
1524.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1517.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
1515.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1509.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1493.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
1478.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1475.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
1464.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1464.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1438.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1426.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
1419.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1395.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
1394.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1393.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
1381.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1367.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
1356.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
1352.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1350.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1334.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
1332.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
1324.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
1322.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1315.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1302.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
1297.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1294.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1293.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1272.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1272.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
1254.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1250.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
1248.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1243.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1219.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
1204.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
1196.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1169.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1168.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
1160.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
1142.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1131.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1119.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
1112.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1108.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1101.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
1100.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1084.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1080.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
1070.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
1050.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1038.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1035.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1032.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1026.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1008.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
1004.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1004.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
1002.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
993.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
983.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
982.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
980.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
967.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
960.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
959.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
955.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
946.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
940.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
939.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
931.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
930.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
924.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
910.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
905.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
883.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
873.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
865.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
858.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
854.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
854.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
853.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
850.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
849.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
844.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
844.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
842.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
838.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
837.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
837.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
830.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
830.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
807.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
805.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
798.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
797.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
796.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
794.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
791.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
790.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
789.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
786.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
767.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
765.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
760.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
743.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
740.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
732.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
726.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
721.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
718.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
717.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
692.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
688.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
687.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
671.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
650.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
635.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
633.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
631.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
630.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
630.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
619.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
612.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
609.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
608.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
606.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
605.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
601.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
593.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
593.5
DO45263
67 years, male, NA, stage:3, dead, 270 days
585.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
577.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
568.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
566.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
563.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
563.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
562.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
554.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
552.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
551.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
538.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
533.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
528.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
524.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
517.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
513.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
498.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
496.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
496.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
474.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
471.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
439.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
437.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
431.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
429.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
428.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
411.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
410.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
391.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
357.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
325.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
322.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
322.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
297.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
207.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
207.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.4
557
Tumor
0.4
135
Tumor
0.4
367
Tumor
0.4
331
Tumor
0.4
327
Tumor
0.4
636
Normal
0.3
944
Normal
0.3
267
Tumor
0.3
743
Tumor
0.3
514
Normal
0.3
353
Tumor
0.3
1021
Tumor
0.3
851
Tumor
0.3
481
Tumor
0.3
965
Tumor
0.3
661
Tumor
0.3
393
Tumor
0.3
494
Normal
0.3
285
Tumor
0.3
918
Normal
0.3
955
Tumor
0.3
195
Tumor
0.3
232
Normal
0.3
938
Normal
0.3
937
Tumor
0.3
926
Normal
0.3
113
Tumor
0.3
912
Normal
0.3
528
Normal
0.3
922
Normal
0.3
696
Normal
0.2
448
Normal
0.2
191
Tumor
0.2
815
Tumor
0.2
376
Normal
0.2
1046
Normal
0.2
545
Tumor
0.2
1044
Normal
0.2
554
Normal
0.2
864
Normal
0.2
484
Normal
0.2
964
Normal
0.2
413
Tumor
0.2
136
Normal
0.2
221
Tumor
0.2
524
Normal
0.2
727
Tumor
0.2
866
Normal
0.2
145
Tumor
0.2
223
Tumor
0.2
777
Tumor
0.2
387
Tumor
0.2
395
Tumor
0.2
724
Normal
0.2
533
Tumor
0.2
385
Tumor
0.2
462
Normal
0.2
984
Normal
0.2
978
Normal
0.2
523
Tumor
0.2
1014
Normal
0.2
518
Normal
0.2
957
Tumor
0.2
567
Tumor
0.2
564
Normal
0.2
473
Tumor
0.2
664
Normal
0.2
568
Normal
0.2
546
Normal
0.2
516
Normal
0.2
1042
Normal
0.2
412
Normal
0.2
824
Normal
0.2
131
Tumor
0.2
983
Tumor
0.2
358
Normal
0.2
756
Normal
0.2
222
Normal
0.2
231
Tumor
0.2
526
Normal
0.2
218
Normal
0.2
534
Normal
0.2
728
Normal
0.2
967
Tumor
0.2
662
Normal
0.2
818
Normal
0.2
286
Normal
0.2
1016
Normal
0.2
214
Normal
0.2
858
Normal
0.2
958
Normal
0.2
467
Tumor
0.2
786
Normal
0.2
916
Normal
0.2
628
Normal
0.2
445
Tumor
0.2
172
Normal
0.2
332
Normal
0.2
137
Tumor
0.2
527
Tumor
0.2
515
Tumor
0.2
714
Normal
0.1
162
Normal
0.1
553
Tumor
0.1
488
Normal
0.1
966
Normal
0.1
427
Tumor
0.1
642
Normal
0.1
698
Normal
0.1
368
Normal
0.1
982
Normal
0.1
672
Normal
0.1
356
Normal
0.1
482
Normal
0.1
513
Tumor
0.1
352
Normal
0.1
671
Tumor
0.1
426
Normal
0.1
697
Tumor
0.1
862
Normal
0.1
342
Normal
0.1
298
Normal
0.1
422
Normal
0.1
517
Tumor
0.1
443
Tumor
0.1
618
Normal
0.1
132
Normal
0.1
362
Normal
0.1
648
Normal
0.1
738
Normal
0.1
284
Normal
0.1
852
Normal
0.1
536
Normal
0.1
411
Tumor
0.1
1032
Normal
0.1
868
Normal
0.1
186
Normal
0.1
196
Normal
0.1
478
Normal
0.1
616
Normal
0.1
414
Normal
0.1
138
Normal
0.1
954
Normal
0.1
228
Normal
0.1
472
Normal
0.1
424
Normal
0.1
446
Normal
0.1
474
Normal
0.1
723
Tumor
0.1
742
Normal
0.1
392
Normal
0.1
421
Tumor
0.1
924
Normal
0.1
882
Normal
0.1
351
Tumor
0.1
1027
Tumor
0.1
666
Normal
0.1
497
Tumor
0.1
271
Tumor
0.1
956
Normal
0.1
436
Normal
0.1
913
Tumor
0.1
968
Normal
0.1
148
Normal
0.1
257
Tumor
0.1
212
Normal
0.1
415
Tumor
0.1
951
Tumor
0.1
721
Tumor
0.1
146
Normal
0.1
1026
Normal
0.1
217
Tumor
0.1
355
Tumor
0.1
258
Normal
0.1
778
Normal
0.1
745
Tumor
0.1
1025
Tumor
0.1
573
Tumor
0.1
722
Normal
0.1
884
Normal
0.1
434
Normal
0.1
433
Tumor
0.1
923
Tumor
0.1
112
Tumor
0.1
396
Normal
0.1
272
Normal
0.1
314
Normal
0.1
981
Tumor
0.1
558
Normal
0.1
571
Tumor
0.1
431
Tumor
0.1
344
Normal
0.1
262
Normal
0.1
432
Normal
0.1
328
Normal
0.1
952
Normal
0.1
364
Normal
0.1
572
Normal
0.1
357
Tumor
0.1
425
Tumor
0.1
713
Tumor
0.1
535
Tumor
0.1
1022
Normal
0.1
127
Tumor
0.1
665
Tumor
0.1
394
Normal
0.1
685
Tumor
0.1
366
Normal
0.1
213
Tumor
0.1
746
Normal
0.1
188
Normal
0.1
361
Tumor
0.1
857
Tumor
0.1
953
Tumor
0.1
492
Normal
0.1
141
Tumor
0.1
435
Tumor
0.1
477
Tumor
0.1
525
Tumor
0.1
466
Normal
0.1
187
Tumor
0.1
744
Normal
0.1
277
Tumor
0.1
1031
Tumor
0.1
817
Tumor
0.1
423
Tumor
0.1
278
Normal
0.1
142
Normal
0.1
663
Tumor
0.0
384
Normal
0.0
268
Normal
0.0
963
Tumor
0.0
428
Normal
0.0
865
Tumor
0.0
312
Normal
0.0
647
Tumor
0.0
128
Normal
0.0
785
Tumor
0.0
224
Normal
0.0
917
Tumor
0.0
365
Tumor
0.0
354
Normal
0.0
1028
Normal
0.0
447
Tumor
0.0
111
Normal
0.0
227
Tumor
0.0
375
Tumor
0.0
686
Normal
0.0
615
Tumor
0.0
737
Tumor
0.0
538
Normal
0.0
816
Normal
0.0
617
Tumor
0.0
363
Tumor
0.0
444
Normal
0.0
461
Tumor
0.0
878
Normal
0.0
716
Normal
0.0
341
Tumor
0.0
171
Tumor
0.0
873
Tumor
0.0
343
Tumor
0.0
471
Tumor
0.0
416
Normal
0.0
976
Normal
0.0
574
Normal
0.0
452
Normal
0.0
147
Tumor
0.0
465
Tumor
0.0
1043
Tumor
0.0
814
Normal
0.0
388
Normal
0.0
943
Tumor
0.0
755
Tumor
0.0
493
Tumor
0.0
386
Normal
0.0
451
Tumor
0.0
114
Normal
0.0
464
Normal
0.0
1015
Tumor
0.0
468
Normal
0.0
635
Tumor
0.0
925
Tumor
0.0
261
Tumor
0.0
185
Tumor
0.0
874
Normal
0.0
921
Tumor
0.0
861
Tumor
0.0
391
Tumor
0.0
867
Tumor
0.0
915
Tumor
0.0
563
Tumor
0.0
715
Tumor
0.0
914
Normal
0.0
975
Tumor
0.0
881
Tumor
-0.1
124
Normal
-0.1
813
Tumor
-0.1
695
Tumor
-0.1
313
Tumor
-0.1
161
Tumor
-0.1
883
Tumor
-0.1
123
Tumor
-0.1
863
Tumor
-0.1
126
Normal
-0.1
641
Tumor
-0.1
297
Tumor
-0.1
483
Tumor
-0.1
192
Normal
-0.1
456
Normal
-0.1
498
Normal
-0.1
877
Tumor
-0.1
463
Tumor
-0.1
383
Tumor
-0.1
823
Tumor
-0.1
1045
Tumor
-0.1
487
Tumor
-0.1
1041
Tumor
-0.1
125
Tumor
-0.1
1013
Tumor
-0.2
455
Tumor
-0.2
977
Tumor
-0.2
211
Tumor
-0.2
283
Tumor
-0.2
491
Tumor
-0.2
627
Tumor
-0.2
311
Tumor
-0.2
911
Tumor
-0.3
741
Tumor
-0.3
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
