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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.
RPS16 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
1550.6
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
14352.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
7883.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
7517.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5180.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5143.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4933.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4917.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4681.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4572.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4511.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3947.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3932.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3852.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3703.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3566.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3550.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3542.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3527.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
3464.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3446.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3322.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3165.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
3064.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3046.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2984.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2969.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2933.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2907.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2869.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2847.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2766.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2759.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2726.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2716.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2679.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2674.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2635.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2628.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2605.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2598.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2572.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2542.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2495.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2471.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2449.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2449.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2427.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2418.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2376.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2348.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2345.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2342.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2333.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2328.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2275.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2264.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2261.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2241.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2238.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2235.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2110.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2106.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2059.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2039.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2029.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1997.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1966.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1953.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1952.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1920.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1916.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1889.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1884.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1879.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1878.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1876.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1871.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1865.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1851.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1847.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1803.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1801.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1792.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1789.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1786.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1783.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1773.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1763.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1760.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1753.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1748.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1744.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1743.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1740.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1731.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1721.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1718.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1693.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1689.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1684.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1662.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1646.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1624.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1622.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1598.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1595.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1592.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1589.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1588.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1582.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1577.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1574.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1565.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1542.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1535.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1534.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1503.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1497.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1495.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1483.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1479.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1475.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1468.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1467.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1466.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1461.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1461.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1458.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1440.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1434.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1427.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1426.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1423.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1422.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1415.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1413.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1413.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1412.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1403.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1403.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1400.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1395.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1390.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1387.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1387.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1377.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1374.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1365.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1363.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1362.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1361.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1358.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1355.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1352.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1351.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1349.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1349.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1338.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1338.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1337.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1333.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1329.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1327.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1323.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1321.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1318.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1316.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1304.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1296.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1294.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1294.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1292.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1292.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1279.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1279.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1278.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1276.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1269.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1266.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1261.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1260.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1252.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1240.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1237.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1235.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1235.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1233.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1227.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1218.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1218.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1218.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1217.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1213.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1208.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1203.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1203.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1199.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1188.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1185.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1183.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1183.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1182.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1162.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1156.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1156.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1153.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1140.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1136.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1136.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1133.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1133.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1124.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1118.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1117.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1110.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1109.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1100.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1100.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1094.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1091.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1089.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1085.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1083.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1083.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1082.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1081.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1081.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1080.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1078.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1078.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1076.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1074.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1071.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1067.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1066.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1057.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1056.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1054.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1044.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1042.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1042.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1037.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1035.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1032.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1031.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1030.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1018.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1017.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1017.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1014.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1010.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1007.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
998.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
993.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
985.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
982.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
981.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
980.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
980.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
979.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
976.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
976.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
969.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
966.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
955.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
954.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
951.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
941.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
938.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
938.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
937.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
932.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
926.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
925.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
919.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
917.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
916.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
914.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
913.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
913.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
904.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
903.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
903.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
903.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
901.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
896.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
896.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
894.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
893.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
889.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
889.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
888.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
885.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
881.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
876.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
875.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
872.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
870.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
870.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
869.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
856.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
849.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
845.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
842.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
837.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
836.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
836.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
835.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
834.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
830.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
828.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
825.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
825.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
823.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
815.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
810.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
806.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
803.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
802.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
790.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
784.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
778.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
772.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
768.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
767.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
750.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
739.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
736.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
734.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
719.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
718.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
709.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
690.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
684.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
677.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
676.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
675.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
670.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
669.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
665.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
665.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
663.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
663.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
663.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
660.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
657.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
654.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
649.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
632.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
622.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
619.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
613.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
598.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
592.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
586.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
576.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
556.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
552.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
552.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
549.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
501.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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.
RPS16 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
1529.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45289
78 years, female, NA, stage:3, alive, 360 days
5172.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
4858.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
4768.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
4071.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
3591.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
3566.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3520.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
3403.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
3401.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
3239.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
3198.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
3160.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
3107.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3021.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
2974.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
2913.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
2902.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2815.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
2806.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
2795.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
2777.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2744.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
2742.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
2711.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
2707.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
2681.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2627.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2590.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
2477.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
2472.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2367.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
2300.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
2288.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
2272.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
2263.2
DO23516
69 years, male, NA, stage:3, dead, 20 days
2224.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2220.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
2185.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2182.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
2154.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
2153.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
2118.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2084.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2077.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2043.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2030.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
2025.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
2015.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
2003.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1995.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1933.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
1922.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
1911.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1895.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
1894.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1888.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
1857.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1853.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1833.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
1829.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
1822.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1820.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1815.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
1811.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
1791.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
1771.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1752.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
1689.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
1674.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1660.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1654.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1645.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
1639.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1625.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
1590.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1582.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
1578.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1561.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1560.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1538.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
1527.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1526.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
1519.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1504.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
1504.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1503.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1500.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1494.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
1493.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1492.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
1491.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1485.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1477.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1471.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
1466.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1455.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1443.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
1433.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1431.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1425.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
1424.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1417.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
1413.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
1404.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1402.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1389.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1389.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
1371.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
1369.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1363.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1355.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1342.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
1334.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1330.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
1328.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1311.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1298.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
1297.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1292.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1290.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1289.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
1289.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1275.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
1275.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1274.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
1268.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
1260.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
1258.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1255.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1227.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1225.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1224.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
1212.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1202.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
1200.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
1190.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1180.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1174.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1167.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1163.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1157.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
1143.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1135.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1132.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
1120.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
1113.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
1104.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1103.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
1101.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
1088.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1077.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1072.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1067.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1052.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
1050.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1038.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1033.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1031.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
1030.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1028.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
1023.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1018.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1016.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
1012.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1011.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
1004.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
981.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
976.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
972.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
968.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
967.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
952.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
933.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
928.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
926.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
924.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
917.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
915.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
912.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
905.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
903.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
901.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
896.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
891.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
890.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
889.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
889.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
888.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
885.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
885.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
885.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
883.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
877.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
864.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
862.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
862.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
858.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
853.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
852.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
851.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
838.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
837.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
831.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
824.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
819.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
812.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
810.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
805.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
794.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
792.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
781.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
757.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
754.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
752.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
736.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
731.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
728.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
726.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
725.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
721.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
662.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
658.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
641.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
635.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
630.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
615.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
577.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
562.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
544.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
532.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
428.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
537
Tumor
0.8
557
Tumor
0.6
1021
Tumor
0.6
533
Tumor
0.5
473
Tumor
0.5
131
Tumor
0.5
327
Tumor
0.5
1025
Tumor
0.4
545
Tumor
0.4
965
Tumor
0.4
367
Tumor
0.4
851
Tumor
0.4
554
Normal
0.4
937
Tumor
0.3
1027
Tumor
0.3
957
Tumor
0.3
285
Tumor
0.3
523
Tumor
0.3
356
Normal
0.3
697
Tumor
0.3
951
Tumor
0.3
981
Tumor
0.3
815
Tumor
0.3
955
Tumor
0.3
567
Tumor
0.3
535
Tumor
0.3
983
Tumor
0.3
824
Normal
0.3
481
Tumor
0.3
553
Tumor
0.3
1026
Normal
0.3
953
Tumor
0.3
448
Normal
0.3
413
Tumor
0.3
1014
Normal
0.3
484
Normal
0.2
497
Tumor
0.2
685
Tumor
0.2
534
Normal
0.2
661
Tumor
0.2
727
Tumor
0.2
471
Tumor
0.2
978
Normal
0.2
865
Tumor
0.2
527
Tumor
0.2
353
Tumor
0.2
355
Tumor
0.2
113
Tumor
0.2
467
Tumor
0.2
967
Tumor
0.2
128
Normal
0.2
135
Tumor
0.2
223
Tumor
0.2
1031
Tumor
0.2
1044
Normal
0.2
411
Tumor
0.2
494
Normal
0.2
866
Normal
0.2
412
Normal
0.2
466
Normal
0.2
964
Normal
0.2
415
Tumor
0.2
474
Normal
0.2
546
Normal
0.2
267
Tumor
0.2
715
Tumor
0.2
1016
Normal
0.2
517
Tumor
0.2
696
Normal
0.2
1022
Normal
0.2
1015
Tumor
0.2
882
Normal
0.2
1046
Normal
0.2
944
Normal
0.2
483
Tumor
0.2
462
Normal
0.2
745
Tumor
0.2
525
Tumor
0.2
636
Normal
0.2
142
Normal
0.2
518
Normal
0.2
778
Normal
0.2
492
Normal
0.2
777
Tumor
0.2
982
Normal
0.2
136
Normal
0.2
873
Tumor
0.2
414
Normal
0.2
864
Normal
0.2
558
Normal
0.2
515
Tumor
0.2
528
Normal
0.2
572
Normal
0.2
488
Normal
0.2
1032
Normal
0.2
364
Normal
0.2
756
Normal
0.2
878
Normal
0.2
493
Tumor
0.2
966
Normal
0.2
482
Normal
0.2
393
Tumor
0.2
538
Normal
0.1
755
Tumor
0.1
436
Normal
0.1
331
Tumor
0.1
162
Normal
0.1
912
Normal
0.1
984
Normal
0.1
314
Normal
0.1
857
Tumor
0.1
427
Tumor
0.1
923
Tumor
0.1
922
Normal
0.1
477
Tumor
0.1
426
Normal
0.1
514
Normal
0.1
526
Normal
0.1
952
Normal
0.1
214
Normal
0.1
728
Normal
0.1
212
Normal
0.1
328
Normal
0.1
227
Tumor
0.1
695
Tumor
0.1
257
Tumor
0.1
724
Normal
0.1
472
Normal
0.1
261
Tumor
0.1
743
Tumor
0.1
363
Tumor
0.1
351
Tumor
0.1
187
Tumor
0.1
616
Normal
0.1
722
Normal
0.1
478
Normal
0.1
147
Tumor
0.1
1028
Normal
0.1
1042
Normal
0.1
628
Normal
0.1
172
Normal
0.1
852
Normal
0.1
686
Normal
0.1
723
Tumor
0.1
416
Normal
0.1
858
Normal
0.1
785
Tumor
0.1
431
Tumor
0.1
617
Tumor
0.1
918
Normal
0.1
232
Normal
0.1
211
Tumor
0.1
1013
Tumor
0.1
422
Normal
0.1
568
Normal
0.1
312
Normal
0.1
938
Normal
0.1
818
Normal
0.1
446
Normal
0.1
1041
Tumor
0.1
196
Normal
0.1
111
Normal
0.1
376
Normal
0.1
114
Normal
0.1
298
Normal
0.1
148
Normal
0.1
1043
Tumor
0.1
926
Normal
0.1
524
Normal
0.1
487
Tumor
0.1
867
Tumor
0.1
191
Tumor
0.1
714
Normal
0.1
516
Normal
0.1
573
Tumor
0.1
958
Normal
0.1
432
Normal
0.1
877
Tumor
0.1
392
Normal
0.1
447
Tumor
0.1
737
Tumor
0.1
713
Tumor
0.1
536
Normal
0.1
956
Normal
0.1
228
Normal
0.1
861
Tumor
0.1
286
Normal
0.1
385
Tumor
0.1
443
Tumor
0.1
145
Tumor
0.1
746
Normal
0.1
738
Normal
0.1
648
Normal
0.1
698
Normal
0.1
672
Normal
0.1
332
Normal
0.1
424
Normal
0.1
564
Normal
0.1
455
Tumor
0.1
421
Tumor
0.1
513
Tumor
0.1
387
Tumor
0.1
664
Normal
0.1
571
Tumor
0.0
362
Normal
0.0
146
Normal
0.0
913
Tumor
0.0
647
Tumor
0.0
394
Normal
0.0
352
Normal
0.0
884
Normal
0.0
137
Tumor
0.0
618
Normal
0.0
963
Tumor
0.0
786
Normal
0.0
464
Normal
0.0
278
Normal
0.0
671
Tumor
0.0
434
Normal
0.0
358
Normal
0.0
862
Normal
0.0
428
Normal
0.0
968
Normal
0.0
925
Tumor
0.0
354
Normal
0.0
976
Normal
0.0
284
Normal
0.0
881
Tumor
0.0
977
Tumor
0.0
262
Normal
0.0
465
Tumor
0.0
231
Tumor
0.0
742
Normal
0.0
721
Tumor
0.0
218
Normal
0.0
132
Normal
0.0
141
Tumor
0.0
395
Tumor
0.0
224
Normal
0.0
222
Normal
0.0
195
Tumor
0.0
663
Tumor
0.0
662
Normal
0.0
975
Tumor
0.0
342
Normal
0.0
716
Normal
0.0
665
Tumor
0.0
425
Tumor
0.0
468
Normal
0.0
868
Normal
0.0
874
Normal
0.0
435
Tumor
0.0
817
Tumor
0.0
188
Normal
0.0
272
Normal
0.0
271
Tumor
0.0
924
Normal
0.0
127
Tumor
0.0
491
Tumor
0.0
221
Tumor
0.0
186
Normal
0.0
297
Tumor
0.0
816
Normal
0.0
277
Tumor
0.0
917
Tumor
0.0
445
Tumor
0.0
916
Normal
0.0
138
Normal
0.0
433
Tumor
0.0
461
Tumor
-0.1
451
Tumor
-0.1
954
Normal
-0.1
344
Normal
-0.1
915
Tumor
-0.1
423
Tumor
-0.1
943
Tumor
-0.1
921
Tumor
-0.1
361
Tumor
-0.1
456
Normal
-0.1
615
Tumor
-0.1
563
Tumor
-0.1
883
Tumor
-0.1
386
Normal
-0.1
365
Tumor
-0.1
171
Tumor
-0.1
124
Normal
-0.1
375
Tumor
-0.1
914
Normal
-0.1
283
Tumor
-0.1
258
Normal
-0.1
744
Normal
-0.1
574
Normal
-0.1
396
Normal
-0.1
452
Normal
-0.1
213
Tumor
-0.1
126
Normal
-0.1
357
Tumor
-0.1
185
Tumor
-0.1
813
Tumor
-0.1
341
Tumor
-0.1
498
Normal
-0.1
642
Normal
-0.1
368
Normal
-0.1
112
Tumor
-0.2
388
Normal
-0.2
123
Tumor
-0.2
814
Normal
-0.2
463
Tumor
-0.2
343
Tumor
-0.2
911
Tumor
-0.2
384
Normal
-0.2
823
Tumor
-0.2
444
Normal
-0.2
161
Tumor
-0.2
666
Normal
-0.2
391
Tumor
-0.2
313
Tumor
-0.2
311
Tumor
-0.2
268
Normal
-0.2
863
Tumor
-0.2
192
Normal
-0.2
125
Tumor
-0.2
217
Tumor
-0.2
1045
Tumor
-0.3
741
Tumor
-0.3
635
Tumor
-0.3
383
Tumor
-0.3
366
Normal
-0.3
627
Tumor
-0.4
641
Tumor
-0.4
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
