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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.
GC is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1502.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5484.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5452.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
5438.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
5148.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4548.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
4526.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4392.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4347.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4301.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4259.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3942.1
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3923.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3744.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3699.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3690.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3640.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3575.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3538.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3485.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3480.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3469.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
3395.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3392.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3301.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
3291.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3232.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3211.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3123.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
3114.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3104.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3082.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3053.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3015.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2960.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2956.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2932.5
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2929.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2926.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2901.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2837.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2824.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2822.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2819.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2802.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2785.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2777.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2775.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2773.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2731.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2725.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2723.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2713.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2697.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
2674.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2669.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2653.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2600.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2581.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2581.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2522.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2509.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2487.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2481.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2461.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2454.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2453.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2431.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2415.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2389.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2389.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2377.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2375.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2366.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2338.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2328.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2321.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2297.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2279.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2250.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2212.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2191.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2182.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2179.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2155.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2154.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2140.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2129.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2110.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2059.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2049.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2044.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2038.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2025.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
2024.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1994.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1987.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
1981.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1978.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1940.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1935.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1930.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1928.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1927.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1924.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1921.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1917.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1913.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1902.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1900.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1881.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1876.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1871.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1863.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1859.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1848.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1836.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1809.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1802.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1789.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1786.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1779.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1771.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1754.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1742.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1732.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1712.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1704.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1701.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1685.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1673.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1671.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1669.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1663.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1640.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1627.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1624.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1624.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1616.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1611.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1609.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1598.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1587.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1564.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1561.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1544.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1541.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1539.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1538.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1538.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1537.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1535.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1529.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1521.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1510.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1509.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1478.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1471.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1468.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1463.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1459.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1435.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1433.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1429.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1426.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1416.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1415.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1376.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1376.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1368.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1365.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1356.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1346.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1327.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1322.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1320.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1318.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1318.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1315.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1298.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1294.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1292.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1289.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1277.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1268.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1254.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1248.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1240.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1228.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1226.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1220.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1218.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1212.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1209.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1201.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1186.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1185.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1179.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1178.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1169.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1165.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1163.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1163.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1146.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1145.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1117.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1104.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1093.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1073.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1072.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1053.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1048.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1045.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1043.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1037.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1034.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1029.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1019.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1015.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
999.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
997.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
986.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
974.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
969.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
961.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
961.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
944.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
941.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
940.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
933.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
929.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
903.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
899.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
899.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
893.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
890.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
883.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
866.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
864.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
864.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
857.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
856.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
848.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
847.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
844.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
841.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
832.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
830.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
823.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
815.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
812.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
806.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
791.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
786.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
786.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
783.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
779.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
778.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
777.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
774.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
771.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
769.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
767.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
764.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
762.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
756.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
751.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
746.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
738.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
735.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
734.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
728.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
723.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
720.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
716.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
709.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
704.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
695.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
690.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
682.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
681.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
679.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
676.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
672.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
670.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
667.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
659.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
658.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
657.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
654.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
651.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
640.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
632.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
616.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
611.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
602.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
601.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
570.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
554.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
545.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
534.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
530.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
530.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
522.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
513.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
502.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
485.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
483.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
473.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
468.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
466.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
458.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
436.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
424.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
422.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
407.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
398.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
388.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
383.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
382.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
377.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
375.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
370.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
367.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
363.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
356.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
356.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
352.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
349.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
345.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
341.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
339.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
326.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
314.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
297.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
285.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
242.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
233.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
232.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
230.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
218.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
211.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
199.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
165.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
155.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
143.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
140.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
135.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
129.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
128.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
123.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
110.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
103.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
97.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
87.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
78.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
76.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
48.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
43.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
41.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
GC 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 TPM
1838.1
Number of samples
231
Samples
Sample
Description
TPM
DO45115
81 years, male, NA, stage:2, alive, 840 days
10417.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
6994.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
6276.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
5860.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
5611.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
5373.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
4818.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4670.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
4535.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4499.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
4384.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
4231.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
4174.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4162.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4092.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
4019.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
4000.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3954.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3574.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
3564.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
3515.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
3508.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
3504.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
3501.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
3489.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
3472.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
3431.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
3425.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
3404.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
3383.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3369.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
3302.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
3291.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
3274.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
3140.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
3037.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3027.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
2988.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
2933.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
2924.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2833.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2720.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
2705.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
2682.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2668.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
2658.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
2629.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2629.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
2614.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
2604.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
2579.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2574.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
2565.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
2553.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2543.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2538.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2501.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
2497.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
2478.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
2459.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2434.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2433.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2418.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2403.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2377.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2344.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2332.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2317.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
2237.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
2237.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
2234.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
2227.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
2177.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
2169.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2162.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2161.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
2135.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
2126.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
2119.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2111.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2096.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
2088.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
2084.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
2081.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
2054.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
2021.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
2016.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1949.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
1945.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
1940.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
1937.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1933.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
1932.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
1922.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
1898.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1896.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
1875.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
1867.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1806.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
1794.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1794.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
1783.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1776.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1769.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
1752.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
1688.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
1679.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
1672.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1647.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
1641.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1612.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
1605.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
1599.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1596.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
1582.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
1552.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1550.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1540.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1539.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1530.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
1517.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
1514.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
1460.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
1458.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
1435.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1414.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
1400.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
1396.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1390.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1368.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1359.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1354.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1350.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1347.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
1317.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1296.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
1292.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
1274.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
1256.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1251.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
1245.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1244.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1241.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1219.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1208.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1200.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
1198.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
1180.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1163.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1150.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1149.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1136.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
1114.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
1110.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1107.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1104.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
1100.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1098.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1080.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
1076.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1064.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
1027.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1018.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
1017.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
1011.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1003.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
972.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
967.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
956.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
956.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
955.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
952.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
950.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
949.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
928.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
926.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
890.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
873.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
847.0
DO48732
73 years, male, NA, stage:3, alive, 630 days
834.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
832.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
809.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
796.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
775.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
773.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
755.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
753.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
752.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
745.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
739.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
719.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
711.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
682.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
682.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
646.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
601.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
598.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
590.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
587.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
575.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
534.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
518.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
502.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
468.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
433.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
431.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
394.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
385.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
311.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
308.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
305.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
289.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
273.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
251.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
208.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
194.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
188.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
146.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
66.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
59.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
51.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
24.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
14.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
12.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
10.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
7.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
7.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
2.3
125
Tumor
1.6
877
Tumor
1.5
425
Tumor
1.1
713
Tumor
1.0
131
Tumor
1.0
375
Tumor
0.8
697
Tumor
0.8
487
Tumor
0.8
671
Tumor
0.8
817
Tumor
0.8
218
Normal
0.7
363
Tumor
0.7
648
Normal
0.7
785
Tumor
0.6
813
Tumor
0.5
283
Tumor
0.5
491
Tumor
0.5
393
Tumor
0.5
395
Tumor
0.5
746
Normal
0.5
863
Tumor
0.5
261
Tumor
0.4
344
Normal
0.4
743
Tumor
0.4
223
Tumor
0.4
342
Normal
0.4
463
Tumor
0.3
952
Normal
0.3
217
Tumor
0.3
271
Tumor
0.3
452
Normal
0.3
192
Normal
0.3
744
Normal
0.3
815
Tumor
0.3
851
Tumor
0.3
866
Normal
0.3
567
Tumor
0.3
545
Tumor
0.2
285
Tumor
0.2
573
Tumor
0.2
257
Tumor
0.2
951
Tumor
0.2
1015
Tumor
0.2
921
Tumor
0.2
355
Tumor
0.2
527
Tumor
0.2
422
Normal
0.2
523
Tumor
0.1
975
Tumor
0.1
881
Tumor
0.1
388
Normal
0.1
394
Normal
0.1
135
Tumor
0.1
878
Normal
0.1
172
Normal
0.1
396
Normal
0.1
358
Normal
0.1
778
Normal
0.1
618
Normal
0.1
967
Tumor
0.1
113
Tumor
0.1
391
Tumor
0.1
963
Tumor
0.1
148
Normal
0.0
741
Tumor
0.0
196
Normal
0.0
376
Normal
0.0
138
Normal
0.0
983
Tumor
0.0
914
Normal
0.0
535
Tumor
0.0
132
Normal
0.0
968
Normal
0.0
956
Normal
0.0
137
Tumor
0.0
224
Normal
0.0
142
Normal
0.0
277
Tumor
0.0
455
Tumor
0.0
136
Normal
0.0
414
Normal
0.0
141
Tumor
0.0
354
Normal
0.0
162
Normal
0.0
464
Normal
0.0
615
Tumor
0.0
553
Tumor
0.0
426
Normal
0.0
222
Normal
0.0
742
Normal
0.0
695
Tumor
0.0
538
Normal
0.0
497
Tumor
0.0
484
Normal
0.0
392
Normal
0.0
738
Normal
0.0
864
Normal
0.0
111
Normal
0.0
966
Normal
-0.1
341
Tumor
-0.1
1025
Tumor
-0.1
356
Normal
-0.1
186
Normal
-0.1
737
Tumor
-0.1
424
Normal
-0.1
492
Normal
-0.1
214
Normal
-0.1
412
Normal
-0.1
126
Normal
-0.1
128
Normal
-0.1
685
Tumor
-0.1
466
Normal
-0.1
723
Tumor
-0.1
517
Tumor
-0.1
868
Normal
-0.1
445
Tumor
-0.1
755
Tumor
-0.1
728
Normal
-0.1
672
Normal
-0.1
286
Normal
-0.1
727
Tumor
-0.1
964
Normal
-0.1
882
Normal
-0.1
816
Normal
-0.1
1021
Tumor
-0.1
557
Tumor
-0.1
364
Normal
-0.1
195
Tumor
-0.1
227
Tumor
-0.1
258
Normal
-0.1
298
Normal
-0.1
1041
Tumor
-0.1
982
Normal
-0.1
428
Normal
-0.1
554
Normal
-0.1
297
Tumor
-0.1
518
Normal
-0.1
953
Tumor
-0.1
114
Normal
-0.1
663
Tumor
-0.2
488
Normal
-0.2
386
Normal
-0.2
365
Tumor
-0.2
313
Tumor
-0.2
955
Tumor
-0.2
568
Normal
-0.2
647
Tumor
-0.2
362
Normal
-0.2
696
Normal
-0.2
716
Normal
-0.2
124
Normal
-0.2
862
Normal
-0.2
368
Normal
-0.2
1016
Normal
-0.2
385
Tumor
-0.2
314
Normal
-0.2
574
Normal
-0.2
472
Normal
-0.2
924
Normal
-0.2
525
Tumor
-0.2
884
Normal
-0.2
483
Tumor
-0.2
474
Normal
-0.2
636
Normal
-0.2
384
Normal
-0.2
448
Normal
-0.2
444
Normal
-0.2
616
Normal
-0.2
662
Normal
-0.2
777
Tumor
-0.2
534
Normal
-0.2
874
Normal
-0.2
698
Normal
-0.2
461
Tumor
-0.2
228
Normal
-0.2
383
Tumor
-0.2
722
Normal
-0.2
965
Tumor
-0.2
432
Normal
-0.2
328
Normal
-0.2
436
Normal
-0.2
745
Tumor
-0.2
367
Tumor
-0.2
818
Normal
-0.2
331
Tumor
-0.2
857
Tumor
-0.2
642
Normal
-0.2
714
Normal
-0.3
262
Normal
-0.3
278
Normal
-0.3
957
Tumor
-0.3
272
Normal
-0.3
976
Normal
-0.3
1045
Tumor
-0.3
514
Normal
-0.3
421
Tumor
-0.3
332
Normal
-0.3
212
Normal
-0.3
446
Normal
-0.3
635
Tumor
-0.3
481
Tumor
-0.3
515
Tumor
-0.3
915
Tumor
-0.3
232
Normal
-0.3
352
Normal
-0.3
1026
Normal
-0.3
938
Normal
-0.3
958
Normal
-0.3
546
Normal
-0.3
516
Normal
-0.3
221
Tumor
-0.3
823
Tumor
-0.3
312
Normal
-0.3
284
Normal
-0.3
1022
Normal
-0.3
524
Normal
-0.3
423
Tumor
-0.3
161
Tumor
-0.3
112
Tumor
-0.3
786
Normal
-0.3
361
Tumor
-0.3
911
Tumor
-0.3
188
Normal
-0.3
526
Normal
-0.3
353
Tumor
-0.3
664
Normal
-0.3
366
Normal
-0.3
468
Normal
-0.3
471
Tumor
-0.3
858
Normal
-0.3
617
Tumor
-0.3
146
Normal
-0.3
1042
Normal
-0.4
267
Tumor
-0.4
564
Normal
-0.4
1046
Normal
-0.4
571
Tumor
-0.4
981
Tumor
-0.4
937
Tumor
-0.4
185
Tumor
-0.4
944
Normal
-0.4
1044
Normal
-0.4
147
Tumor
-0.4
883
Tumor
-0.4
462
Normal
-0.4
686
Normal
-0.4
558
Normal
-0.4
268
Normal
-0.4
665
Tumor
-0.4
1028
Normal
-0.4
536
Normal
-0.4
456
Normal
-0.4
922
Normal
-0.4
563
Tumor
-0.4
528
Normal
-0.4
912
Normal
-0.4
756
Normal
-0.5
943
Tumor
-0.5
628
Normal
-0.5
498
Normal
-0.5
918
Normal
-0.5
852
Normal
-0.5
715
Tumor
-0.5
494
Normal
-0.5
482
Normal
-0.5
434
Normal
-0.5
327
Tumor
-0.5
916
Normal
-0.5
861
Tumor
-0.5
416
Normal
-0.5
824
Normal
-0.5
447
Tumor
-0.5
917
Tumor
-0.5
865
Tumor
-0.5
187
Tumor
-0.5
867
Tumor
-0.5
465
Tumor
-0.5
913
Tumor
-0.5
311
Tumor
-0.5
145
Tumor
-0.5
435
Tumor
-0.5
387
Tumor
-0.5
413
Tumor
-0.5
477
Tumor
-0.5
1032
Normal
-0.6
1027
Tumor
-0.6
191
Tumor
-0.6
537
Tumor
-0.6
666
Normal
-0.6
1014
Normal
-0.6
977
Tumor
-0.6
572
Normal
-0.6
213
Tumor
-0.6
351
Tumor
-0.6
467
Tumor
-0.6
721
Tumor
-0.6
123
Tumor
-0.6
1043
Tumor
-0.6
923
Tumor
-0.6
627
Tumor
-0.6
427
Tumor
-0.7
411
Tumor
-0.7
814
Normal
-0.7
357
Tumor
-0.7
478
Normal
-0.7
926
Normal
-0.7
984
Normal
-0.7
431
Tumor
-0.7
473
Tumor
-0.7
451
Tumor
-0.7
978
Normal
-0.7
954
Normal
-0.7
433
Tumor
-0.7
641
Tumor
-0.8
171
Tumor
-0.8
211
Tumor
-0.8
443
Tumor
-0.8
873
Tumor
-0.9
533
Tumor
-0.9
661
Tumor
-0.9
1031
Tumor
-0.9
925
Tumor
-0.9
493
Tumor
-0.9
1013
Tumor
-0.9
724
Normal
-0.9
415
Tumor
-0.9
513
Tumor
-0.9
231
Tumor
-0.9
127
Tumor
-1.0
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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.