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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.
C3 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0019
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.
55%
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.
39%
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
2175.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
7613.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
5659.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
5529.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
5423.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
5420.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
5371.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
5361.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
5304.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
5252.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5251.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
5199.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
5080.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
5071.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5050.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
5037.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5030.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
5009.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4932.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4861.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4672.4
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
4539.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4517.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
4451.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
4328.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4290.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4231.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
4218.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
4137.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
4077.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4062.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
4015.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4005.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3981.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3956.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3906.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3811.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3807.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3805.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3768.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3707.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3699.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3695.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3694.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3677.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3657.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3646.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3639.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3616.8
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3613.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3599.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3595.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3594.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
3589.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
3566.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3524.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3513.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
3510.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
3492.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3486.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3469.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3439.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3414.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3390.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3390.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3370.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3361.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3334.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3322.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3303.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
3280.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3254.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3240.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
3235.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
3234.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
3202.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3201.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3190.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3126.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3125.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3095.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3088.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
3068.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3062.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3056.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3047.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3043.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
3037.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3036.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3011.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3006.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3000.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2985.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2969.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2960.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2932.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2917.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2916.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2914.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2905.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2896.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2869.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2861.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2860.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2857.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2856.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2821.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2820.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2780.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2778.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2776.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2768.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2747.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2740.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2737.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2733.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2717.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2716.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2716.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2714.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2705.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2698.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2694.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2688.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2684.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2680.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2672.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2640.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2608.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2602.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2597.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2596.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2586.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2583.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2574.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2527.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2523.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2522.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2508.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2507.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2484.6
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2482.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2477.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2456.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2403.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
2396.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2387.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2374.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2371.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2326.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2312.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2304.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2300.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2291.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2291.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2290.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2282.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
2254.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2253.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2219.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2215.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2214.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2211.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2207.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2202.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2197.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2192.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2182.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2160.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2146.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2114.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2114.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2109.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2107.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2104.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2093.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2092.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2091.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2090.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2075.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2075.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2053.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2031.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2031.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2025.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2023.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2011.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2004.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1985.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1983.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1982.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1976.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1972.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1966.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1963.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1962.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1953.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1919.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1918.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1907.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1896.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1892.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1889.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1885.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1876.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1863.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1861.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1832.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1829.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1825.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1824.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1809.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1804.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1804.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1790.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1782.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1762.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1742.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1723.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1722.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1713.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1679.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1676.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1670.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1667.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1664.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1648.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1637.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1613.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1611.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1599.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1595.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1594.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1582.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1563.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1546.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1545.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1530.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1511.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1495.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1488.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1482.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1475.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1455.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1448.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1418.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1416.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1412.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1410.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1400.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1363.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1363.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1360.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1358.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1348.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1335.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1326.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1302.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1280.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1272.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1250.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1221.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1220.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1196.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1191.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1185.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1174.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1170.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1140.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1129.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1126.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1108.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1102.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1100.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1097.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1075.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1053.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1052.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1029.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1023.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1014.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1002.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
993.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
987.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
984.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
974.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
926.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
923.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
915.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
910.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
903.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
902.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
889.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
877.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
859.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
847.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
847.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
835.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
828.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
816.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
816.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
813.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
811.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
791.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
786.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
781.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
780.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
749.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
735.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
725.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
725.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
719.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
709.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
685.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
675.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
674.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
673.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
665.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
657.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
656.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
648.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
638.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
637.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
628.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
622.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
621.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
612.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
579.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
578.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
555.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
534.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
529.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
525.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
516.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
507.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
474.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
469.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
461.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
393.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
388.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
387.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
371.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
364.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
361.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
344.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
342.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
332.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
327.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
326.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
316.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
304.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
274.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
184.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
182.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
147.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
144.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
116.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
106.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
97.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
58.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
20.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
8.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 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.
C3 is potential prognostic, high expression is favorable 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0000067
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.
79%
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.
48%
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
1982.6
Number of samples
231
Samples
Sample
Description
TPM
DO50807
67 years, male, NA, stage:1, alive, 540 days
6282.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
5823.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
5632.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
5480.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
5301.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
5218.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5008.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4880.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4454.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
4332.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4218.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4206.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4205.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
4173.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
4153.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
3971.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3943.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3729.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3659.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
3640.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
3543.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
3521.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
3471.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
3447.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3387.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
3255.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
3217.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
3211.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
3174.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
3145.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
3129.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
3102.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
3088.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
3088.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
3063.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
3062.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3060.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
3059.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
3039.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
3000.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2978.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
2959.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2912.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2895.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
2881.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2871.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2859.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
2850.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
2842.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
2841.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
2840.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2839.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2819.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
2798.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
2795.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
2771.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
2768.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2728.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
2710.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2709.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
2701.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2665.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2604.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
2583.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
2571.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
2568.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
2534.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
2530.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2477.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2473.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
2460.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2393.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
2367.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2360.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2354.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2337.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
2334.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2314.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2292.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
2288.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
2280.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
2280.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
2278.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2269.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
2242.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2235.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
2216.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
2205.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2189.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
2184.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
2177.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2165.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2157.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2143.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
2106.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
2088.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
2072.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2062.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2061.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
2053.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
2033.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
2031.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2030.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2025.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
2018.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2004.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2001.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
1994.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
1989.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
1980.3
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1930.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1921.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1914.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
1908.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
1892.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
1887.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
1867.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
1854.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1802.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1778.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
1773.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1767.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
1745.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
1743.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1735.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1731.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1679.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
1674.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
1664.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1646.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1627.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1613.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
1595.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1574.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
1570.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
1561.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
1544.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1541.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1521.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
1518.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
1504.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
1487.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
1474.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
1468.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1466.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1446.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
1431.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1423.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1423.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
1419.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
1411.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1409.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1404.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
1392.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
1369.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1361.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1357.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1346.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
1340.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1338.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
1332.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
1325.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1323.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1317.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1307.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1297.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1259.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
1253.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
1244.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
1238.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
1212.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1187.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1178.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
1144.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1138.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
1120.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
1118.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1112.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
1091.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
1084.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1057.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
996.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
983.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
973.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
971.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
949.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
948.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
928.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
921.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
915.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
887.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
866.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
862.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
814.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
812.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
799.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
712.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
698.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
692.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
689.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
636.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
623.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
612.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
601.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
592.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
557.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
520.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
508.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
486.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
473.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
471.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
469.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
456.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
443.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
403.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
402.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
379.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
346.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
273.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
243.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
202.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
199.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
139.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
137.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
98.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
86.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
42.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
41.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
21.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
20.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
6.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
863
Tumor
1.3
877
Tumor
1.2
113
Tumor
1.1
192
Normal
1.1
395
Tumor
1.0
131
Tumor
0.8
227
Tumor
0.8
1045
Tumor
0.8
425
Tumor
0.8
375
Tumor
0.7
527
Tumor
0.7
665
Tumor
0.6
743
Tumor
0.6
777
Tumor
0.6
311
Tumor
0.6
224
Normal
0.6
223
Tumor
0.5
785
Tumor
0.5
217
Tumor
0.5
778
Normal
0.4
487
Tumor
0.4
384
Normal
0.4
884
Normal
0.4
218
Normal
0.4
697
Tumor
0.4
343
Tumor
0.4
823
Tumor
0.4
671
Tumor
0.4
393
Tumor
0.4
392
Normal
0.4
672
Normal
0.4
444
Normal
0.4
536
Normal
0.3
461
Tumor
0.3
615
Tumor
0.3
142
Normal
0.3
396
Normal
0.3
135
Tumor
0.3
813
Tumor
0.3
286
Normal
0.3
1022
Normal
0.3
523
Tumor
0.3
526
Normal
0.3
517
Tumor
0.3
514
Normal
0.3
573
Tumor
0.3
364
Normal
0.2
964
Normal
0.2
713
Tumor
0.2
553
Tumor
0.2
297
Tumor
0.2
391
Tumor
0.2
498
Normal
0.2
431
Tumor
0.2
647
Tumor
0.2
414
Normal
0.2
445
Tumor
0.2
141
Tumor
0.2
545
Tumor
0.2
916
Normal
0.2
1025
Tumor
0.2
723
Tumor
0.2
546
Normal
0.2
471
Tumor
0.2
424
Normal
0.2
881
Tumor
0.2
968
Normal
0.2
363
Tumor
0.2
195
Tumor
0.2
1046
Normal
0.2
1044
Normal
0.2
221
Tumor
0.2
963
Tumor
0.2
228
Normal
0.2
866
Normal
0.2
428
Normal
0.2
696
Normal
0.2
857
Tumor
0.2
353
Tumor
0.2
354
Normal
0.2
558
Normal
0.2
926
Normal
0.2
967
Tumor
0.2
277
Tumor
0.2
327
Tumor
0.2
137
Tumor
0.2
124
Normal
0.2
1016
Normal
0.2
426
Normal
0.2
568
Normal
0.2
212
Normal
0.2
111
Normal
0.2
742
Normal
0.2
447
Tumor
0.2
528
Normal
0.2
915
Tumor
0.2
352
Normal
0.2
524
Normal
0.1
191
Tumor
0.1
271
Tumor
0.1
663
Tumor
0.1
574
Normal
0.1
636
Normal
0.1
921
Tumor
0.1
737
Tumor
0.1
1042
Normal
0.1
423
Tumor
0.1
618
Normal
0.1
1026
Normal
0.1
448
Normal
0.1
455
Tumor
0.1
746
Normal
0.1
816
Normal
0.1
328
Normal
0.1
432
Normal
0.1
914
Normal
0.1
817
Tumor
0.1
954
Normal
0.1
922
Normal
0.1
464
Normal
0.1
686
Normal
0.1
744
Normal
0.1
975
Tumor
0.1
635
Tumor
0.1
138
Normal
0.1
981
Tumor
0.1
868
Normal
0.1
394
Normal
0.1
474
Normal
0.1
446
Normal
0.1
756
Normal
0.1
383
Tumor
0.1
666
Normal
0.1
515
Tumor
0.1
1015
Tumor
0.1
186
Normal
0.1
342
Normal
0.1
368
Normal
0.1
535
Tumor
0.1
114
Normal
0.1
196
Normal
0.1
518
Normal
0.1
146
Normal
0.1
261
Tumor
0.1
862
Normal
0.1
386
Normal
0.1
422
Normal
0.1
452
Normal
0.1
365
Tumor
0.1
648
Normal
0.1
616
Normal
0.1
564
Normal
0.1
262
Normal
0.1
716
Normal
0.1
882
Normal
0.1
642
Normal
0.1
284
Normal
0.1
956
Normal
0.1
462
Normal
0.1
468
Normal
0.1
818
Normal
0.1
755
Tumor
0.0
355
Tumor
0.0
572
Normal
0.0
285
Tumor
0.0
851
Tumor
0.0
132
Normal
0.0
148
Normal
0.0
852
Normal
0.0
958
Normal
0.0
727
Tumor
0.0
538
Normal
0.0
924
Normal
0.0
741
Tumor
0.0
492
Normal
0.0
662
Normal
0.0
467
Tumor
0.0
472
Normal
0.0
858
Normal
0.0
982
Normal
0.0
494
Normal
0.0
786
Normal
0.0
145
Tumor
0.0
814
Normal
0.0
488
Normal
0.0
878
Normal
0.0
232
Normal
0.0
332
Normal
0.0
874
Normal
0.0
1021
Tumor
0.0
456
Normal
0.0
641
Tumor
0.0
728
Normal
0.0
331
Tumor
0.0
162
Normal
0.0
864
Normal
0.0
983
Tumor
0.0
188
Normal
0.0
222
Normal
0.0
388
Normal
0.0
918
Normal
0.0
187
Tumor
0.0
722
Normal
0.0
358
Normal
0.0
917
Tumor
0.0
1041
Tumor
-0.1
516
Normal
-0.1
344
Normal
-0.1
738
Normal
-0.1
938
Normal
-0.1
376
Normal
-0.1
112
Tumor
-0.1
1028
Normal
-0.1
466
Normal
-0.1
1014
Normal
-0.1
214
Normal
-0.1
463
Tumor
-0.1
258
Normal
-0.1
824
Normal
-0.1
314
Normal
-0.1
883
Tumor
-0.1
491
Tumor
-0.1
554
Normal
-0.1
126
Normal
-0.1
436
Normal
-0.1
136
Normal
-0.1
312
Normal
-0.1
534
Normal
-0.1
484
Normal
-0.1
953
Tumor
-0.1
944
Normal
-0.1
362
Normal
-0.1
421
Tumor
-0.1
361
Tumor
-0.1
664
Normal
-0.1
172
Normal
-0.1
557
Tumor
-0.1
617
Tumor
-0.1
478
Normal
-0.1
955
Tumor
-0.1
366
Normal
-0.1
873
Tumor
-0.1
482
Normal
-0.1
298
Normal
-0.1
451
Tumor
-0.1
563
Tumor
-0.1
937
Tumor
-0.2
628
Normal
-0.2
695
Tumor
-0.2
481
Tumor
-0.2
913
Tumor
-0.2
497
Tumor
-0.2
571
Tumor
-0.2
1043
Tumor
-0.2
341
Tumor
-0.2
966
Normal
-0.2
627
Tumor
-0.2
356
Normal
-0.2
125
Tumor
-0.2
745
Tumor
-0.2
976
Normal
-0.2
268
Normal
-0.2
147
Tumor
-0.2
412
Normal
-0.2
278
Normal
-0.2
1032
Normal
-0.2
185
Tumor
-0.2
912
Normal
-0.2
272
Normal
-0.2
984
Normal
-0.2
525
Tumor
-0.2
925
Tumor
-0.2
978
Normal
-0.2
952
Normal
-0.2
977
Tumor
-0.2
465
Tumor
-0.2
513
Tumor
-0.2
434
Normal
-0.2
443
Tumor
-0.2
715
Tumor
-0.3
714
Normal
-0.3
721
Tumor
-0.3
867
Tumor
-0.3
416
Normal
-0.3
943
Tumor
-0.3
283
Tumor
-0.3
865
Tumor
-0.3
413
Tumor
-0.3
128
Normal
-0.4
427
Tumor
-0.4
698
Normal
-0.4
861
Tumor
-0.4
385
Tumor
-0.4
415
Tumor
-0.4
483
Tumor
-0.4
123
Tumor
-0.4
923
Tumor
-0.5
685
Tumor
-0.5
724
Normal
-0.5
367
Tumor
-0.5
257
Tumor
-0.5
433
Tumor
-0.5
477
Tumor
-0.5
411
Tumor
-0.5
911
Tumor
-0.5
351
Tumor
-0.5
387
Tumor
-0.5
267
Tumor
-0.5
567
Tumor
-0.5
1031
Tumor
-0.6
161
Tumor
-0.6
213
Tumor
-0.6
1027
Tumor
-0.6
951
Tumor
-0.6
493
Tumor
-0.7
313
Tumor
-0.7
815
Tumor
-0.7
1013
Tumor
-0.7
435
Tumor
-0.7
357
Tumor
-0.8
533
Tumor
-0.8
965
Tumor
-0.8
957
Tumor
-0.9
473
Tumor
-0.9
127
Tumor
-0.9
171
Tumor
-1.0
211
Tumor
-1.0
537
Tumor
-1.1
231
Tumor
-1.2
661
Tumor
-1.4
Show allShow less
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.