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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.
RPL31 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 TPM
1632.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6697.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5049.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
4774.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
4565.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4384.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4291.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3995.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3951.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3927.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3722.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3709.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3656.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3557.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3549.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3502.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3467.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3466.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3451.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3430.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3257.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3247.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3158.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3111.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2979.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
2927.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2901.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2846.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2844.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2833.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2818.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2795.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2765.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2730.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2715.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2712.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2664.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2654.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2648.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2635.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2632.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2594.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2593.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2592.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2575.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2566.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2547.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2523.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2511.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2487.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2487.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2433.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2431.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2372.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2339.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2323.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2319.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2317.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2317.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2309.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2302.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2265.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2250.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2248.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2242.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2223.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2222.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2221.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2211.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2206.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2193.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2134.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2131.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2097.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2092.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2079.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2076.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2073.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2046.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2039.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2028.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2016.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1998.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1997.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1991.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1978.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1974.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1964.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1963.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1955.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1950.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1941.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1908.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1905.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1901.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1901.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1900.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1895.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1889.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1885.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1877.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1861.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1845.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1840.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1834.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1818.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1805.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1799.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1795.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1794.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1788.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1782.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1762.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1757.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1753.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1750.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1745.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1744.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1740.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1736.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1734.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1733.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1732.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1727.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1727.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1724.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1724.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1721.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1717.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1710.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1708.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1703.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1697.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1691.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1691.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1659.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1652.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1649.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1641.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1630.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1627.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1617.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1610.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1609.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1605.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1605.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1600.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1598.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1591.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1591.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1581.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1578.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1571.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1567.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1564.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1564.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1556.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1554.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1553.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1537.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1519.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1511.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1501.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1499.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1496.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1483.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1483.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1481.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1476.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1471.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1464.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1463.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1462.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1458.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1454.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1451.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1446.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1445.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1442.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1433.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1426.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1422.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1421.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1412.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1399.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1398.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1387.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1387.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1387.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1382.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1380.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1373.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1372.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1371.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1369.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1367.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1365.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1362.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1353.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1352.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1350.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1341.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1340.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1330.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1326.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1318.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1314.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1313.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1309.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1306.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1300.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1296.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1296.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1282.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1279.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1276.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1276.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1273.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1271.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1270.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1268.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1264.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1248.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1247.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1244.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1238.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1238.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1235.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1233.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1226.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1225.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1224.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1212.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1212.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1200.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1198.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1198.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1198.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1197.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1194.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1190.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1190.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1181.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1178.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1177.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1176.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1167.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1166.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1166.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1165.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1164.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1162.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1155.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1150.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1147.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1142.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1139.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1127.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1126.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1122.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1122.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1119.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1111.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1111.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1106.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1102.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1095.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1092.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1087.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1080.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1074.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1072.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1071.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1069.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1067.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1060.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1058.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1054.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1050.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1048.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1045.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1045.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1043.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1042.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1037.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1035.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1027.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1026.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1026.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1025.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1021.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1019.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1019.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1018.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1015.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1002.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1002.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1000.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
995.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
980.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
972.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
967.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
964.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
954.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
954.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
952.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
950.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
948.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
944.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
940.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
939.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
932.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
932.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
930.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
917.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
912.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
903.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
898.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
891.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
880.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
870.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
868.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
865.3
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
864.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
862.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
860.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
854.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
848.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
844.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
827.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
827.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
816.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
812.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
812.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
809.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
801.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
787.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
787.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
785.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
785.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
782.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
781.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
751.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
746.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
743.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
734.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
717.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
695.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
695.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
694.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
689.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
681.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
678.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
668.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
656.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
654.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
636.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
634.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
605.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
581.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
540.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
509.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPL31 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 TPM
1064.4
Number of samples
231
Samples
Sample
Description
TPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
5126.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
3992.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
3489.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
2576.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
2457.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2446.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
2406.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
2402.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
2322.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2227.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
2199.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
2188.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2139.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
2079.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2072.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1987.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
1914.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
1849.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
1790.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
1753.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1738.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1712.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1682.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
1676.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
1649.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
1625.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1621.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
1602.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1592.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
1584.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
1584.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1577.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
1566.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
1556.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1540.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
1524.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
1521.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
1504.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1499.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1488.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1443.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
1433.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1423.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1420.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1409.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
1404.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
1399.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
1399.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
1394.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
1386.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1372.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
1368.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
1354.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1344.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1330.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1306.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
1305.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
1295.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
1291.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1290.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1284.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
1283.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1262.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1259.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1255.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1253.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1252.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1232.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1229.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1228.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1222.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1219.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
1211.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1182.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
1182.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
1164.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1156.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1154.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1152.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1145.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1138.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
1129.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1129.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1124.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
1121.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
1110.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
1108.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
1072.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1071.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1057.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1052.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1049.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1045.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
1041.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1023.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1022.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1020.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1019.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
1015.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
1015.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1005.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1004.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
1003.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1002.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
996.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
994.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
993.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
990.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
971.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
962.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
958.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
957.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
941.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
935.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
932.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
924.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
918.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
901.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
901.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
900.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
893.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
881.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
881.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
880.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
879.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
878.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
875.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
871.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
870.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
863.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
860.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
857.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
852.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
851.1
DO45121
61 years, male, NA, stage:3, alive, 1530 days
848.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
841.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
837.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
836.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
834.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
833.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
827.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
821.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
799.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
785.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
783.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
783.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
771.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
757.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
755.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
751.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
747.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
744.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
744.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
743.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
741.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
734.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
734.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
733.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
726.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
723.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
721.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
713.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
704.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
703.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
703.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
693.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
689.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
687.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
683.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
680.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
673.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
673.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
667.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
667.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
664.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
655.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
648.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
641.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
634.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
621.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
619.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
619.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
614.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
610.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
608.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
606.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
602.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
595.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
595.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
592.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
591.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
579.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
573.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
570.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
570.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
568.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
566.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
565.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
564.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
563.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
558.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
556.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
553.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
546.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
538.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
536.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
524.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
524.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
518.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
518.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
516.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
512.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
510.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
503.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
499.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
486.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
482.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
482.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
480.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
463.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
442.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
438.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
425.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
412.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
382.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
382.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
381.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
378.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
375.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
364.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
318.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
685
Tumor
0.5
367
Tumor
0.5
285
Tumor
0.4
113
Tumor
0.4
393
Tumor
0.4
327
Tumor
0.4
481
Tumor
0.4
918
Normal
0.4
353
Tumor
0.3
395
Tumor
0.3
1021
Tumor
0.3
467
Tumor
0.3
331
Tumor
0.3
661
Tumor
0.3
131
Tumor
0.3
965
Tumor
0.3
537
Tumor
0.3
743
Tumor
0.3
922
Normal
0.3
135
Tumor
0.3
617
Tumor
0.3
983
Tumor
0.3
413
Tumor
0.3
964
Normal
0.3
636
Normal
0.3
387
Tumor
0.3
937
Tumor
0.3
966
Normal
0.3
724
Normal
0.3
267
Tumor
0.3
1025
Tumor
0.2
851
Tumor
0.2
223
Tumor
0.2
195
Tumor
0.2
958
Normal
0.2
385
Tumor
0.2
745
Tumor
0.2
955
Tumor
0.2
567
Tumor
0.2
944
Normal
0.2
232
Normal
0.2
865
Tumor
0.2
1027
Tumor
0.2
443
Tumor
0.2
376
Normal
0.2
672
Normal
0.2
815
Tumor
0.2
392
Normal
0.2
671
Tumor
0.2
777
Tumor
0.2
564
Normal
0.2
314
Normal
0.2
258
Normal
0.2
938
Normal
0.2
696
Normal
0.2
817
Tumor
0.2
412
Normal
0.2
523
Tumor
0.2
227
Tumor
0.2
662
Normal
0.2
191
Tumor
0.2
864
Normal
0.2
926
Normal
0.2
984
Normal
0.2
1044
Normal
0.2
212
Normal
0.2
362
Normal
0.2
414
Normal
0.2
968
Normal
0.2
572
Normal
0.2
666
Normal
0.2
257
Tumor
0.2
426
Normal
0.2
951
Tumor
0.2
422
Normal
0.2
923
Tumor
0.2
436
Normal
0.2
462
Normal
0.2
721
Tumor
0.2
568
Normal
0.2
332
Normal
0.2
214
Normal
0.2
497
Tumor
0.2
978
Normal
0.2
558
Normal
0.2
368
Normal
0.2
123
Tumor
0.1
446
Normal
0.1
518
Normal
0.1
664
Normal
0.1
1015
Tumor
0.1
1016
Normal
0.1
114
Normal
0.1
866
Normal
0.1
778
Normal
0.1
785
Tumor
0.1
957
Tumor
0.1
137
Tumor
0.1
628
Normal
0.1
278
Normal
0.1
128
Normal
0.1
648
Normal
0.1
384
Normal
0.1
142
Normal
0.1
448
Normal
0.1
222
Normal
0.1
517
Tumor
0.1
221
Tumor
0.1
528
Normal
0.1
952
Normal
0.1
218
Normal
0.1
665
Tumor
0.1
976
Normal
0.1
394
Normal
0.1
618
Normal
0.1
641
Tumor
0.1
466
Normal
0.1
356
Normal
0.1
1014
Normal
0.1
536
Normal
0.1
824
Normal
0.1
136
Normal
0.1
727
Tumor
0.1
756
Normal
0.1
473
Tumor
0.1
474
Normal
0.1
713
Tumor
0.1
715
Tumor
0.1
963
Tumor
0.1
358
Normal
0.1
912
Normal
0.1
714
Normal
0.1
388
Normal
0.1
1042
Normal
0.1
574
Normal
0.1
1026
Normal
0.1
112
Tumor
0.1
755
Tumor
0.1
217
Tumor
0.1
982
Normal
0.1
228
Normal
0.1
873
Tumor
0.1
231
Tumor
0.1
284
Normal
0.1
722
Normal
0.1
471
Tumor
0.1
635
Tumor
0.1
213
Tumor
0.1
451
Tumor
0.1
916
Normal
0.1
196
Normal
0.1
981
Tumor
0.1
272
Normal
0.1
852
Normal
0.1
277
Tumor
0.1
286
Normal
0.1
535
Tumor
0.1
862
Normal
0.1
1046
Normal
0.1
571
Tumor
0.1
386
Normal
0.1
716
Normal
0.1
573
Tumor
0.1
615
Tumor
0.1
312
Normal
0.1
728
Normal
0.1
396
Normal
0.1
738
Normal
0.1
464
Normal
0.1
298
Normal
0.1
1032
Normal
0.1
262
Normal
0.1
746
Normal
0.1
882
Normal
0.1
172
Normal
0.1
723
Tumor
0.1
546
Normal
0.1
187
Tumor
0.1
1031
Tumor
0.1
431
Tumor
0.1
663
Tumor
0.1
271
Tumor
0.1
1022
Normal
0.1
126
Normal
0.1
924
Normal
0.1
642
Normal
0.1
111
Normal
0.1
868
Normal
0.1
132
Normal
0.1
261
Tumor
0.1
127
Tumor
0.1
482
Normal
0.1
421
Tumor
0.1
366
Normal
0.1
162
Normal
0.1
452
Normal
0.1
975
Tumor
0.1
186
Normal
0.1
954
Normal
0.1
742
Normal
0.1
411
Tumor
0.1
1028
Normal
0.0
913
Tumor
0.0
432
Normal
0.0
351
Tumor
0.0
516
Normal
0.0
375
Tumor
0.0
967
Tumor
0.0
472
Normal
0.0
737
Tumor
0.0
515
Tumor
0.0
468
Normal
0.0
434
Normal
0.0
463
Tumor
0.0
534
Normal
0.0
697
Tumor
0.0
858
Normal
0.0
433
Tumor
0.0
138
Normal
0.0
424
Normal
0.0
456
Normal
0.0
686
Normal
0.0
124
Normal
0.0
525
Tumor
0.0
444
Normal
0.0
297
Tumor
0.0
1013
Tumor
0.0
211
Tumor
0.0
514
Normal
0.0
423
Tumor
0.0
526
Normal
0.0
455
Tumor
0.0
363
Tumor
0.0
352
Normal
0.0
786
Normal
0.0
145
Tumor
0.0
698
Normal
0.0
563
Tumor
0.0
915
Tumor
0.0
878
Normal
0.0
695
Tumor
0.0
647
Tumor
0.0
427
Tumor
0.0
818
Normal
0.0
268
Normal
0.0
342
Normal
0.0
361
Tumor
0.0
956
Normal
0.0
147
Tumor
0.0
953
Tumor
0.0
1043
Tumor
0.0
188
Normal
0.0
823
Tumor
0.0
391
Tumor
0.0
861
Tumor
0.0
884
Normal
0.0
344
Normal
0.0
493
Tumor
0.0
921
Tumor
0.0
355
Tumor
0.0
435
Tumor
0.0
917
Tumor
0.0
328
Normal
0.0
554
Normal
0.0
148
Normal
0.0
545
Tumor
0.0
354
Normal
0.0
357
Tumor
0.0
857
Tumor
0.0
447
Tumor
0.0
627
Tumor
0.0
616
Normal
-0.1
816
Normal
-0.1
488
Normal
-0.1
146
Normal
-0.1
461
Tumor
-0.1
425
Tumor
-0.1
533
Tumor
-0.1
161
Tumor
-0.1
465
Tumor
-0.1
513
Tumor
-0.1
874
Normal
-0.1
428
Normal
-0.1
814
Normal
-0.1
141
Tumor
-0.1
867
Tumor
-0.1
977
Tumor
-0.1
364
Normal
-0.1
943
Tumor
-0.1
494
Normal
-0.1
881
Tumor
-0.1
744
Normal
-0.1
445
Tumor
-0.1
883
Tumor
-0.1
813
Tumor
-0.1
524
Normal
-0.1
365
Tumor
-0.1
224
Normal
-0.1
171
Tumor
-0.1
415
Tumor
-0.1
1041
Tumor
-0.1
538
Normal
-0.1
341
Tumor
-0.1
185
Tumor
-0.1
416
Normal
-0.1
484
Normal
-0.1
383
Tumor
-0.1
477
Tumor
-0.1
478
Normal
-0.1
1045
Tumor
-0.1
527
Tumor
-0.1
487
Tumor
-0.1
925
Tumor
-0.1
343
Tumor
-0.1
914
Normal
-0.1
192
Normal
-0.2
553
Tumor
-0.2
498
Normal
-0.2
313
Tumor
-0.2
283
Tumor
-0.2
483
Tumor
-0.2
492
Normal
-0.2
863
Tumor
-0.2
311
Tumor
-0.3
911
Tumor
-0.3
125
Tumor
-0.3
877
Tumor
-0.3
741
Tumor
-0.4
491
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
