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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.
RPL13A 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
1812.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
12838.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
10906.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
10346.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6706.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
6560.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
6432.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5783.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5510.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
5483.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
5309.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4912.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4790.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4710.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4632.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4613.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4499.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4400.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4292.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4278.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4186.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4137.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4074.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4074.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3789.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3760.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3757.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
3699.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3663.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3414.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3407.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3354.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3326.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3281.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
3272.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3262.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
3120.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3086.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3064.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3048.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3020.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2992.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2951.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2931.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2928.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2913.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2882.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2877.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2862.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2811.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2805.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2787.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2756.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2752.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2673.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2666.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2637.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2637.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2615.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2600.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2595.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2550.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2544.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2531.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2527.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2500.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2462.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2439.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2436.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2431.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2423.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2415.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2393.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2369.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2336.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2308.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2294.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2292.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2286.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2264.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2262.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2256.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2243.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2239.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2231.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2222.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2217.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2209.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2196.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2184.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2183.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2129.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2126.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2111.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2089.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2085.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2077.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2069.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2050.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2035.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2026.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2009.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2003.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1991.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1991.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1957.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1947.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1937.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1929.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1925.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1902.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1889.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1854.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1852.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1836.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1824.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1822.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1820.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1815.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1811.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1809.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1808.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1790.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1784.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1768.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1767.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1758.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1756.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1741.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1735.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1735.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1690.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1685.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1673.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1671.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1667.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1658.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1654.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1638.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1634.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1626.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1623.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1616.3
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1600.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1599.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1590.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1586.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1583.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1582.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1581.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1575.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1574.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1574.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1559.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1559.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1549.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1549.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1541.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1540.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1538.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1531.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1527.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1520.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1512.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1509.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1504.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1502.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1500.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1494.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1494.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1492.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1490.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1485.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1481.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1479.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1458.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1457.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1455.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1455.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1440.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1428.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1417.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1417.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1415.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1411.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1406.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1402.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1398.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1395.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1393.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1391.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1384.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1379.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1367.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1366.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1360.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1352.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1342.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1341.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1335.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1334.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1331.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1330.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1326.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1325.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1325.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1320.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1317.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1306.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1302.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1297.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1297.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1292.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1290.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1289.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1279.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1277.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1272.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1260.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1256.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1242.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1239.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1231.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1227.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1216.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1214.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1210.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1205.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1197.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1187.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1186.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1185.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1180.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1175.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1170.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1163.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1160.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1157.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1155.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1151.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1148.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1147.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1147.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1138.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1130.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1125.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1117.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1117.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1116.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1110.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1110.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1108.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1108.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1103.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1102.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1096.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1094.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1078.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1077.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1074.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1066.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1064.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1062.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1052.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1052.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1052.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1040.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1033.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1031.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1030.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1020.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1019.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1014.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1011.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1005.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1004.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1004.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
998.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
996.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
991.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
991.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
991.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
989.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
989.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
988.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
987.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
983.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
976.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
975.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
975.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
974.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
970.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
968.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
965.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
964.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
962.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
957.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
943.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
940.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
916.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
916.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
909.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
907.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
902.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
901.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
891.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
890.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
886.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
884.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
875.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
874.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
873.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
870.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
868.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
865.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
865.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
858.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
846.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
843.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
829.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
826.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
818.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
809.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
792.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
789.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
788.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
784.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
782.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
778.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
775.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
767.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
764.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
757.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
757.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
745.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
744.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
722.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
720.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
717.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
713.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
711.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
706.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
704.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
704.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
704.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
686.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
684.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
649.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
632.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
623.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
620.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
609.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
608.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
601.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
599.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
591.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
576.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
566.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
517.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
512.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
480.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
477.7
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.
RPL13A 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
2034.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
7868.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
6204.6
DO45289
78 years, female, NA, stage:3, alive, 360 days
6136.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
5598.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
5504.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
5486.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5092.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
4854.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
4760.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4667.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4372.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
4235.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
4190.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
4096.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
4040.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
3956.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
3885.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
3879.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
3814.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
3773.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
3764.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
3736.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3727.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
3694.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
3430.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
3425.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3410.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
3392.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3388.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
3369.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
3304.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3282.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3252.8
DO45269
59 years, male, NA, stage:3, alive, 750 days
3144.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
3143.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
3132.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
3093.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3053.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
3020.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3015.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
2986.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
2923.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2909.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2890.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2887.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2886.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2848.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
2724.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
2702.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2674.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
2649.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2648.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
2622.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
2616.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
2599.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
2565.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
2551.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2528.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
2481.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
2462.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
2457.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2445.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2425.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
2404.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
2389.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
2387.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
2382.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
2376.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2337.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2294.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
2284.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
2277.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
2245.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2218.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
2218.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
2214.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2203.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
2197.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2172.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2166.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2145.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
2115.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
2113.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
2109.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
2099.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
2086.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
2067.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
2045.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2045.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
2043.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
2038.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2036.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
2012.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
2003.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1997.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1980.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
1962.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
1942.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1934.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1928.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
1892.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1881.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1842.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
1821.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1817.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1812.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
1780.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1737.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1718.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1716.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
1700.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1700.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1694.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
1684.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
1684.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1681.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1681.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1671.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1667.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
1664.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1659.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1655.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1627.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1614.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1607.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
1605.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1593.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1586.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1586.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1586.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1583.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1578.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1569.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1562.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
1545.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
1524.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
1523.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1502.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1497.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1492.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1491.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1486.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1485.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1477.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1424.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1423.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
1422.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1418.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1417.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
1416.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1416.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
1403.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1388.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
1385.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1376.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
1369.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1358.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1331.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
1327.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1326.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
1314.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
1306.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
1303.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
1297.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
1297.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1291.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1281.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1257.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1249.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1242.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
1240.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
1238.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
1236.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1205.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
1194.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
1186.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1186.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1186.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1182.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1177.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
1173.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
1170.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1158.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
1152.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1136.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
1131.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
1130.1
DO48693
71 years, male, NA, stage:2, alive, 900 days
1123.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1123.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
1112.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1103.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1092.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1080.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
1069.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1062.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
1042.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
1036.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
1035.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
1027.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
976.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
973.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
970.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
968.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
967.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
962.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
945.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
936.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
906.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
902.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
896.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
887.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
882.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
865.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
840.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
833.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
815.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
779.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
778.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
771.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
765.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
741.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
736.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
722.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
710.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
678.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
663.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
617.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
609.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
473.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
454.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
379.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.6
537
Tumor
0.6
285
Tumor
0.4
1021
Tumor
0.4
327
Tumor
0.4
533
Tumor
0.4
661
Tumor
0.4
937
Tumor
0.4
331
Tumor
0.4
367
Tumor
0.4
567
Tumor
0.4
851
Tumor
0.4
685
Tumor
0.3
965
Tumor
0.3
223
Tumor
0.3
497
Tumor
0.3
527
Tumor
0.3
131
Tumor
0.3
212
Normal
0.3
815
Tumor
0.3
951
Tumor
0.3
981
Tumor
0.3
494
Normal
0.3
523
Tumor
0.3
955
Tumor
0.3
553
Tumor
0.3
524
Normal
0.3
481
Tumor
0.3
443
Tumor
0.3
393
Tumor
0.3
1025
Tumor
0.3
957
Tumor
0.3
135
Tumor
0.3
545
Tumor
0.3
1027
Tumor
0.2
983
Tumor
0.2
227
Tumor
0.2
824
Normal
0.2
944
Normal
0.2
864
Normal
0.2
473
Tumor
0.2
395
Tumor
0.2
743
Tumor
0.2
355
Tumor
0.2
865
Tumor
0.2
938
Normal
0.2
922
Normal
0.2
484
Normal
0.2
636
Normal
0.2
413
Tumor
0.2
554
Normal
0.2
926
Normal
0.2
432
Normal
0.2
448
Normal
0.2
518
Normal
0.2
1042
Normal
0.2
535
Tumor
0.2
1026
Normal
0.2
353
Tumor
0.2
534
Normal
0.2
488
Normal
0.2
1046
Normal
0.2
471
Tumor
0.2
493
Tumor
0.2
546
Normal
0.2
1044
Normal
0.2
211
Tumor
0.2
387
Tumor
0.2
528
Normal
0.2
952
Normal
0.2
696
Normal
0.2
866
Normal
0.2
385
Tumor
0.2
737
Tumor
0.2
724
Normal
0.2
1032
Normal
0.2
517
Tumor
0.2
727
Tumor
0.2
356
Normal
0.2
778
Normal
0.2
628
Normal
0.2
314
Normal
0.2
817
Tumor
0.2
525
Tumor
0.2
777
Tumor
0.2
1022
Normal
0.2
728
Normal
0.2
332
Normal
0.2
912
Normal
0.2
515
Tumor
0.2
412
Normal
0.2
568
Normal
0.2
228
Normal
0.2
558
Normal
0.2
745
Tumor
0.2
467
Tumor
0.1
953
Tumor
0.1
1031
Tumor
0.1
232
Normal
0.1
422
Normal
0.1
284
Normal
0.1
267
Tumor
0.1
617
Tumor
0.1
436
Normal
0.1
978
Normal
0.1
873
Tumor
0.1
564
Normal
0.1
526
Normal
0.1
756
Normal
0.1
1014
Normal
0.1
818
Normal
0.1
918
Normal
0.1
483
Tumor
0.1
573
Tumor
0.1
852
Normal
0.1
414
Normal
0.1
664
Normal
0.1
462
Normal
0.1
698
Normal
0.1
446
Normal
0.1
492
Normal
0.1
858
Normal
0.1
956
Normal
0.1
286
Normal
0.1
984
Normal
0.1
514
Normal
0.1
697
Tumor
0.1
572
Normal
0.1
954
Normal
0.1
964
Normal
0.1
967
Tumor
0.1
411
Tumor
0.1
536
Normal
0.1
257
Tumor
0.1
913
Tumor
0.1
162
Normal
0.1
352
Normal
0.1
516
Normal
0.1
571
Tumor
0.1
172
Normal
0.1
415
Tumor
0.1
1016
Normal
0.1
136
Normal
0.1
648
Normal
0.1
474
Normal
0.1
421
Tumor
0.1
715
Tumor
0.1
723
Tumor
0.1
142
Normal
0.1
513
Tumor
0.1
433
Tumor
0.1
113
Tumor
0.1
214
Normal
0.1
943
Tumor
0.1
966
Normal
0.1
472
Normal
0.1
426
Normal
0.1
148
Normal
0.1
958
Normal
0.1
358
Normal
0.1
376
Normal
0.1
186
Normal
0.1
662
Normal
0.1
975
Tumor
0.1
277
Tumor
0.1
196
Normal
0.1
425
Tumor
0.1
916
Normal
0.1
434
Normal
0.1
342
Normal
0.1
755
Tumor
0.1
427
Tumor
0.1
431
Tumor
0.1
466
Normal
0.0
882
Normal
0.0
968
Normal
0.0
451
Tumor
0.0
672
Normal
0.0
447
Tumor
0.0
423
Tumor
0.0
618
Normal
0.0
921
Tumor
0.0
1015
Tumor
0.0
1028
Normal
0.0
213
Tumor
0.0
221
Tumor
0.0
258
Normal
0.0
224
Normal
0.0
394
Normal
0.0
746
Normal
0.0
982
Normal
0.0
738
Normal
0.0
231
Tumor
0.0
615
Tumor
0.0
363
Tumor
0.0
816
Normal
0.0
786
Normal
0.0
686
Normal
0.0
147
Tumor
0.0
881
Tumor
0.0
924
Normal
0.0
298
Normal
0.0
351
Tumor
0.0
713
Tumor
0.0
424
Normal
0.0
195
Tumor
0.0
963
Tumor
0.0
785
Tumor
0.0
312
Normal
0.0
884
Normal
0.0
722
Normal
0.0
563
Tumor
0.0
187
Tumor
0.0
218
Normal
0.0
1043
Tumor
0.0
823
Tumor
0.0
478
Normal
0.0
714
Normal
0.0
976
Normal
0.0
283
Tumor
0.0
191
Tumor
0.0
861
Tumor
0.0
278
Normal
0.0
392
Normal
0.0
145
Tumor
0.0
671
Tumor
0.0
137
Tumor
0.0
477
Tumor
0.0
428
Normal
0.0
635
Tumor
0.0
364
Normal
0.0
742
Normal
0.0
132
Normal
0.0
468
Normal
0.0
344
Normal
0.0
111
Normal
0.0
262
Normal
0.0
874
Normal
0.0
862
Normal
0.0
538
Normal
0.0
923
Tumor
0.0
616
Normal
0.0
222
Normal
0.0
384
Normal
0.0
487
Tumor
0.0
271
Tumor
0.0
272
Normal
0.0
925
Tumor
0.0
464
Normal
0.0
915
Tumor
0.0
416
Normal
0.0
261
Tumor
0.0
883
Tumor
0.0
328
Normal
0.0
452
Normal
0.0
114
Normal
0.0
188
Normal
0.0
465
Tumor
0.0
917
Tumor
0.0
455
Tumor
0.0
171
Tumor
0.0
138
Normal
0.0
867
Tumor
0.0
396
Normal
0.0
857
Tumor
0.0
146
Normal
0.0
185
Tumor
0.0
375
Tumor
0.0
354
Normal
0.0
878
Normal
0.0
695
Tumor
0.0
868
Normal
0.0
444
Normal
-0.1
362
Normal
-0.1
445
Tumor
-0.1
814
Normal
-0.1
574
Normal
-0.1
456
Normal
-0.1
721
Tumor
-0.1
666
Normal
-0.1
1013
Tumor
-0.1
647
Tumor
-0.1
313
Tumor
-0.1
642
Normal
-0.1
461
Tumor
-0.1
1041
Tumor
-0.1
297
Tumor
-0.1
665
Tumor
-0.1
357
Tumor
-0.1
124
Normal
-0.1
365
Tumor
-0.1
366
Normal
-0.1
627
Tumor
-0.1
877
Tumor
-0.1
388
Normal
-0.1
482
Normal
-0.1
1045
Tumor
-0.1
744
Normal
-0.1
663
Tumor
-0.1
128
Normal
-0.1
498
Normal
-0.1
716
Normal
-0.1
341
Tumor
-0.1
435
Tumor
-0.1
126
Normal
-0.1
112
Tumor
-0.1
386
Normal
-0.1
161
Tumor
-0.1
217
Tumor
-0.1
977
Tumor
-0.1
368
Normal
-0.1
914
Normal
-0.1
268
Normal
-0.1
491
Tumor
-0.2
141
Tumor
-0.2
641
Tumor
-0.2
813
Tumor
-0.2
391
Tumor
-0.2
863
Tumor
-0.2
361
Tumor
-0.2
343
Tumor
-0.2
123
Tumor
-0.2
463
Tumor
-0.2
383
Tumor
-0.2
311
Tumor
-0.2
911
Tumor
-0.3
192
Normal
-0.3
741
Tumor
-0.4
125
Tumor
-0.4
127
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.