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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.
RPL13 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
1767.3
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
17777.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
8276.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7590.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5758.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5453.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5236.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4776.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4751.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4576.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4565.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4489.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4459.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4380.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4362.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4307.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4297.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4204.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4184.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4152.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3933.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3858.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3785.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3782.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3679.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3625.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3492.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3434.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3403.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3400.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3374.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3305.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3274.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3212.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3185.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3098.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3095.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3094.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3074.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3037.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
3013.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2908.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2840.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2777.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2718.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2708.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2692.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2662.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2652.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2651.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2646.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2640.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2627.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2616.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2582.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2578.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2578.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2571.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2571.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2543.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2534.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2527.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2453.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2437.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2398.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2379.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2378.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2365.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2348.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2341.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2317.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2301.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2259.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2254.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2238.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2218.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2214.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2206.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2199.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2191.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
2177.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2164.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2153.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2147.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
2134.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2129.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2120.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2111.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
2107.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2095.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2091.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2080.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2062.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2043.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2031.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2028.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2024.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2014.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2009.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2003.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1998.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1996.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1993.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1987.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1978.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1968.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1965.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1959.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1957.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1954.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1954.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1949.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1946.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1942.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1921.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1915.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1908.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1896.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1895.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1869.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1866.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1858.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1845.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1836.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1821.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1817.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1812.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1801.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1790.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1788.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1787.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1773.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1753.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1746.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1742.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1737.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1734.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1726.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1724.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1724.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1711.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1710.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1705.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1702.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1686.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1678.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1676.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1670.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1669.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1667.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1664.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1659.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1657.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1649.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1643.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1635.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1632.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1632.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1623.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1612.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1610.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1601.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1584.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1566.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1556.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1556.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1520.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1520.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1514.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1512.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1511.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1506.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1502.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1490.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1487.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1487.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1481.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1473.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1469.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1465.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1455.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1444.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1443.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1436.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1435.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1435.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1433.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1415.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1406.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1402.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1394.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1387.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1386.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1376.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1374.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1366.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1359.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1355.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1352.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1338.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1338.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1337.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1331.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1328.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1328.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1317.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1316.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1312.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1309.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1309.5
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1302.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1302.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1292.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1275.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1253.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1252.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1252.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1251.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1247.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1244.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1239.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1238.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1237.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1234.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1229.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1227.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1224.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1224.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1219.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1211.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1207.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1205.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1200.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1198.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1194.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1182.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1181.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1181.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1177.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1175.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1175.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1169.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1168.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1168.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1165.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1164.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1159.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1142.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1115.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1111.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1111.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1102.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1100.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1098.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1095.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1092.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1086.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1083.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1081.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1079.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1074.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1068.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1056.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1052.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1041.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1041.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1038.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1023.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1020.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1010.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1010.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1004.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1002.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
990.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
988.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
985.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
977.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
975.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
973.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
964.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
962.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
962.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
958.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
951.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
946.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
946.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
941.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
937.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
926.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
924.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
916.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
911.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
908.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
905.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
904.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
904.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
899.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
898.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
890.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
887.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
886.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
871.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
868.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
868.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
856.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
855.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
849.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
845.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
842.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
835.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
829.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
823.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
823.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
806.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
796.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
790.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
786.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
785.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
783.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
779.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
774.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
774.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
769.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
766.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
744.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
744.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
743.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
741.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
740.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
733.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
732.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
731.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
716.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
716.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
715.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
709.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
709.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
696.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
695.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
688.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
683.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
670.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
654.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
648.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
641.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
635.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
629.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
623.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
621.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
619.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
587.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
579.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
576.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
566.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
563.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
553.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
551.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
548.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
547.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
515.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
479.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
456.4
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.
RPL13 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
1318.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
6936.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
5521.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
4491.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
4304.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
4073.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
4068.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
3581.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3317.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
2927.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
2756.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
2755.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2711.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
2710.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
2664.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
2658.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2628.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
2591.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2567.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
2524.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
2378.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2359.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2358.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2319.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2306.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2296.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
2258.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2252.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
2193.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
2174.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
2169.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
2157.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2121.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
2114.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2110.6
DO45287
74 years, male, NA, stage:1, alive, 390 days
2097.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
2085.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
2055.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
2048.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
2013.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2002.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
1980.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
1977.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1904.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1882.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1868.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1864.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
1860.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
1827.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1823.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1822.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1787.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1769.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
1765.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1751.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
1743.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
1717.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1691.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
1688.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1671.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
1634.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
1623.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
1617.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
1586.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1548.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
1546.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1543.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
1539.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1525.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
1495.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
1478.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1474.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
1458.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
1457.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
1453.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1412.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
1402.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1381.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1373.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1357.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1356.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
1354.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
1342.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1334.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1330.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1326.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1302.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
1298.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
1295.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
1292.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1291.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1289.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
1272.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1265.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1263.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
1257.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1245.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1208.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
1198.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1191.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
1181.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
1180.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
1178.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1174.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1173.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
1166.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
1166.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
1160.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1160.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1158.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
1154.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1153.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1147.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1132.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1131.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
1130.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1128.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
1126.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
1116.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1106.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
1104.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1104.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
1095.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1085.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1083.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
1074.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
1043.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
1026.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
1025.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1016.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
1001.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1000.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
995.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
988.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
984.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
984.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
964.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
962.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
956.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
950.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
948.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
932.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
926.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
919.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
914.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
913.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
906.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
897.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
892.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
890.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
883.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
877.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
870.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
861.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
860.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
857.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
855.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
850.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
846.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
840.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
831.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
819.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
816.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
808.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
803.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
798.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
789.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
788.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
779.6
DO227643
79 years, male, NA, stage:2, alive, 1260 days
774.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
757.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
741.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
729.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
724.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
713.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
713.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
707.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
688.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
687.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
683.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
664.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
660.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
658.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
654.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
637.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
633.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
630.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
627.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
618.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
617.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
612.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
610.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
597.6
DO23518
67 years, male, NA, stage:2, alive, 1320 days
597.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
587.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
570.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
567.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
566.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
565.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
561.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
554.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
553.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
546.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
546.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
539.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
537.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
534.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
533.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
532.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
526.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
506.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
497.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
494.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
492.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
492.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
480.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
456.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
446.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
441.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
436.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
423.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
410.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
405.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
400.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
375.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
328.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
327.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
322.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
298.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
283.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
232.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
195.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
557
Tumor
0.5
331
Tumor
0.5
327
Tumor
0.5
223
Tumor
0.4
467
Tumor
0.4
113
Tumor
0.4
443
Tumor
0.4
661
Tumor
0.3
332
Normal
0.3
395
Tumor
0.3
567
Tumor
0.3
413
Tumor
0.3
367
Tumor
0.3
1027
Tumor
0.3
195
Tumor
0.3
436
Normal
0.3
222
Normal
0.3
387
Tumor
0.3
135
Tumor
0.2
356
Normal
0.2
353
Tumor
0.2
481
Tumor
0.2
393
Tumor
0.2
131
Tumor
0.2
446
Normal
0.2
955
Tumor
0.2
385
Tumor
0.2
267
Tumor
0.2
926
Normal
0.2
864
Normal
0.2
314
Normal
0.2
196
Normal
0.2
286
Normal
0.2
376
Normal
0.2
232
Normal
0.2
285
Tumor
0.2
537
Tumor
0.2
965
Tumor
0.2
851
Tumor
0.2
636
Normal
0.2
528
Normal
0.2
1021
Tumor
0.2
452
Normal
0.2
172
Normal
0.2
191
Tumor
0.2
514
Normal
0.2
136
Normal
0.2
424
Normal
0.2
414
Normal
0.2
186
Normal
0.2
617
Tumor
0.2
564
Normal
0.2
434
Normal
0.2
162
Normal
0.2
866
Normal
0.2
218
Normal
0.2
574
Normal
0.2
756
Normal
0.2
212
Normal
0.2
277
Tumor
0.2
312
Normal
0.2
145
Tumor
0.2
517
Tumor
0.2
451
Tumor
0.2
428
Normal
0.2
422
Normal
0.2
464
Normal
0.2
396
Normal
0.2
685
Tumor
0.2
523
Tumor
0.2
257
Tumor
0.2
815
Tumor
0.1
918
Normal
0.1
227
Tumor
0.1
128
Normal
0.1
1044
Normal
0.1
228
Normal
0.1
432
Normal
0.1
568
Normal
0.1
944
Normal
0.1
468
Normal
0.1
258
Normal
0.1
298
Normal
0.1
392
Normal
0.1
937
Tumor
0.1
148
Normal
0.1
431
Tumor
0.1
278
Normal
0.1
922
Normal
0.1
824
Normal
0.1
433
Tumor
0.1
482
Normal
0.1
217
Tumor
0.1
966
Normal
0.1
124
Normal
0.1
426
Normal
0.1
672
Normal
0.1
648
Normal
0.1
518
Normal
0.1
358
Normal
0.1
214
Normal
0.1
696
Normal
0.1
111
Normal
0.1
132
Normal
0.1
463
Tumor
0.1
664
Normal
0.1
352
Normal
0.1
488
Normal
0.1
188
Normal
0.1
112
Tumor
0.1
221
Tumor
0.1
114
Normal
0.1
628
Normal
0.1
665
Tumor
0.1
526
Normal
0.1
224
Normal
0.1
435
Tumor
0.1
912
Normal
0.1
384
Normal
0.1
394
Normal
0.1
964
Normal
0.1
954
Normal
0.1
978
Normal
0.1
411
Tumor
0.1
271
Tumor
0.1
976
Normal
0.1
284
Normal
0.1
1016
Normal
0.1
1046
Normal
0.1
558
Normal
0.1
147
Tumor
0.1
724
Normal
0.1
425
Tumor
0.1
421
Tumor
0.1
262
Normal
0.1
618
Normal
0.1
455
Tumor
0.1
662
Normal
0.1
728
Normal
0.1
412
Normal
0.1
364
Normal
0.1
698
Normal
0.1
494
Normal
0.1
1026
Normal
0.1
882
Normal
0.1
534
Normal
0.1
466
Normal
0.1
524
Normal
0.1
958
Normal
0.1
938
Normal
0.1
666
Normal
0.1
187
Tumor
0.1
818
Normal
0.1
462
Normal
0.1
858
Normal
0.1
272
Normal
0.1
231
Tumor
0.1
497
Tumor
0.1
366
Normal
0.1
171
Tumor
0.1
362
Normal
0.1
213
Tumor
0.1
297
Tumor
0.1
444
Normal
0.1
865
Tumor
0.1
786
Normal
0.1
513
Tumor
0.1
388
Normal
0.1
723
Tumor
0.1
415
Tumor
0.1
968
Normal
0.1
1014
Normal
0.1
138
Normal
0.1
571
Tumor
0.1
778
Normal
0.1
984
Normal
0.0
814
Normal
0.0
142
Normal
0.0
368
Normal
0.0
545
Tumor
0.0
456
Normal
0.0
982
Normal
0.0
126
Normal
0.0
344
Normal
0.0
852
Normal
0.0
642
Normal
0.0
738
Normal
0.0
572
Normal
0.0
478
Normal
0.0
862
Normal
0.0
342
Normal
0.0
743
Tumor
0.0
983
Tumor
0.0
1028
Normal
0.0
137
Tumor
0.0
375
Tumor
0.0
386
Normal
0.0
472
Normal
0.0
777
Tumor
0.0
515
Tumor
0.0
952
Normal
0.0
427
Tumor
0.0
727
Tumor
0.0
722
Normal
0.0
351
Tumor
0.0
354
Normal
0.0
563
Tumor
0.0
474
Normal
0.0
448
Normal
0.0
445
Tumor
0.0
916
Normal
0.0
881
Tumor
0.0
127
Tumor
0.0
185
Tumor
0.0
161
Tumor
0.0
363
Tumor
0.0
211
Tumor
0.0
516
Normal
0.0
416
Normal
0.0
923
Tumor
0.0
956
Normal
0.0
981
Tumor
0.0
1032
Normal
0.0
742
Normal
0.0
745
Tumor
0.0
268
Normal
0.0
714
Normal
0.0
671
Tumor
0.0
975
Tumor
0.0
527
Tumor
0.0
525
Tumor
0.0
823
Tumor
0.0
123
Tumor
0.0
261
Tumor
0.0
546
Normal
0.0
686
Normal
0.0
884
Normal
0.0
715
Tumor
0.0
146
Normal
0.0
361
Tumor
0.0
746
Normal
0.0
1043
Tumor
0.0
465
Tumor
0.0
493
Tumor
0.0
868
Normal
0.0
423
Tumor
0.0
816
Normal
0.0
817
Tumor
0.0
924
Normal
0.0
471
Tumor
0.0
874
Normal
0.0
1042
Normal
0.0
1025
Tumor
0.0
635
Tumor
-0.1
878
Normal
-0.1
615
Tumor
-0.1
857
Tumor
-0.1
447
Tumor
-0.1
737
Tumor
-0.1
313
Tumor
-0.1
755
Tumor
-0.1
1022
Normal
-0.1
484
Normal
-0.1
967
Tumor
-0.1
716
Normal
-0.1
744
Normal
-0.1
125
Tumor
-0.1
192
Normal
-0.1
554
Normal
-0.1
365
Tumor
-0.1
953
Tumor
-0.1
957
Tumor
-0.1
1015
Tumor
-0.1
461
Tumor
-0.1
921
Tumor
-0.1
915
Tumor
-0.1
538
Normal
-0.1
873
Tumor
-0.1
355
Tumor
-0.1
943
Tumor
-0.1
341
Tumor
-0.1
492
Normal
-0.1
328
Normal
-0.1
141
Tumor
-0.1
616
Normal
-0.1
573
Tumor
-0.1
963
Tumor
-0.1
721
Tumor
-0.1
536
Normal
-0.1
951
Tumor
-0.1
647
Tumor
-0.1
913
Tumor
-0.1
785
Tumor
-0.1
867
Tumor
-0.1
713
Tumor
-0.1
883
Tumor
-0.1
1031
Tumor
-0.1
391
Tumor
-0.1
663
Tumor
-0.1
863
Tumor
-0.1
535
Tumor
-0.1
311
Tumor
-0.2
357
Tumor
-0.2
695
Tumor
-0.2
343
Tumor
-0.2
813
Tumor
-0.2
917
Tumor
-0.2
383
Tumor
-0.2
473
Tumor
-0.2
283
Tumor
-0.2
877
Tumor
-0.2
533
Tumor
-0.2
641
Tumor
-0.2
483
Tumor
-0.2
861
Tumor
-0.2
697
Tumor
-0.2
553
Tumor
-0.2
925
Tumor
-0.2
487
Tumor
-0.2
1045
Tumor
-0.2
914
Normal
-0.2
498
Normal
-0.2
977
Tumor
-0.3
627
Tumor
-0.3
477
Tumor
-0.3
911
Tumor
-0.3
1041
Tumor
-0.3
1013
Tumor
-0.4
491
Tumor
-0.5
741
Tumor
-0.5
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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
