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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.
SERPINA3 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.
0.018
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.
54%
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.
46%
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
1886.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
12535.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
9166.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
9142.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
8187.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
7772.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6841.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6818.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
6709.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
6639.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
6629.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
6579.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
6307.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6198.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
6177.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
6080.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6001.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
5902.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5686.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5676.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5657.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
5547.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
5509.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
5211.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
5152.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
5143.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5137.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
5045.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5020.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4957.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
4917.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4890.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4652.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4633.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4612.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4593.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
4544.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
4500.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
4479.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
4438.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
4368.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4271.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4160.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
4120.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4052.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3984.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
3883.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3883.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3880.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3876.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3807.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3804.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3780.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3778.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3777.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3774.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3766.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3668.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3604.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3549.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3528.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3486.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3326.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3319.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3273.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
3191.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3181.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3125.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3116.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3111.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3098.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3095.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
3084.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3071.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2957.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2905.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2885.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2880.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2877.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2783.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2767.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2746.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2741.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2741.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2737.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2714.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2703.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2669.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2615.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2577.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2574.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2566.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2558.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2549.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2541.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2512.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2502.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2491.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2442.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2426.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2399.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2390.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2390.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2382.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2368.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2334.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2276.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2274.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
2257.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2220.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2214.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2208.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2112.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2104.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2088.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2061.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2053.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2051.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2048.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2047.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2045.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2037.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2000.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2000.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1996.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1960.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1955.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1955.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1907.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1862.3
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1857.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1838.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1828.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1827.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1817.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1792.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1773.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1756.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1753.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1735.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1735.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1733.2
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1723.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1719.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1717.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1717.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1696.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1692.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1686.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1683.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1665.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1661.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1647.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1647.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1602.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1590.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1570.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1570.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1566.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1558.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1557.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1545.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1512.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1447.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1423.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1417.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1417.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1411.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1410.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1407.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1404.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1402.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1399.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1390.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1389.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1388.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1373.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1353.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1339.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1337.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1328.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1325.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1325.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1311.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1302.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1289.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1286.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1269.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1229.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1221.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1220.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1197.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1177.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1172.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1168.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1160.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1149.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1146.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1145.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1142.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1131.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1120.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1114.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1112.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1086.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1082.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1080.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1058.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1057.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1048.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1045.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1044.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1041.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1036.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1021.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
995.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
969.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
964.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
964.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
962.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
961.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
958.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
948.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
946.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
942.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
939.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
934.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
919.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
917.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
911.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
906.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
903.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
900.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
888.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
887.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
879.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
877.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
872.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
858.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
857.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
851.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
844.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
843.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
838.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
837.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
832.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
821.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
812.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
806.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
795.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
782.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
779.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
779.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
772.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
772.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
766.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
753.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
716.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
711.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
702.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
698.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
691.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
682.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
679.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
676.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
666.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
663.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
659.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
645.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
635.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
631.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
625.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
602.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
583.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
578.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
575.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
571.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
545.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
544.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
528.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
526.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
504.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
501.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
493.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
485.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
477.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
475.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
469.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
469.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
456.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
445.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
444.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
431.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
426.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
422.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
419.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
414.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
408.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
405.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
394.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
386.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
360.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
359.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
351.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
339.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
338.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
337.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
333.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
331.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
330.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
328.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
327.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
326.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
326.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
315.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
298.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
296.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
290.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
278.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
277.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
268.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
267.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
265.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
263.0
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
259.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
248.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
248.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
236.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
228.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
227.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
225.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
218.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
213.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
212.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
206.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
192.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
164.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
162.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
152.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
150.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
147.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
140.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
128.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
127.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
122.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
120.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
116.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
100.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
74.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
63.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
57.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
47.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
44.1
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
38.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
38.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
31.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
28.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
21.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
16.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
11.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
9.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4.8
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.
SERPINA3 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.
: 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.
0.0069
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.
72%
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.
0%
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
1785.5
Number of samples
231
Samples
Sample
Description
TPM
DO50819
72 years, female, NA, stage:2, alive, 510 days
7866.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7783.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
7627.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
6879.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
6852.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
6322.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
6220.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
5951.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
5799.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
5556.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
5261.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
5224.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
5206.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
5070.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
4998.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
4996.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
4968.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
4746.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4598.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
4525.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
4468.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
4416.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
4183.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
4170.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
4025.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
4024.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
4004.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
3947.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
3854.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
3851.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3807.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
3694.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3601.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
3445.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
3379.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
3366.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
3335.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
3311.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3256.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
3248.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
3197.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
3174.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
3157.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
3133.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3113.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3105.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
3093.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2864.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2804.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2790.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
2775.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2768.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
2756.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
2698.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
2673.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
2535.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
2480.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
2401.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2396.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
2394.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2322.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2321.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2312.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
2295.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2280.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2251.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2206.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
2187.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
2169.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
2151.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2137.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
2114.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
2093.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
2093.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
2089.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2072.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
2047.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
2031.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2014.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
1992.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
1981.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1933.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
1932.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
1897.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1840.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
1838.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
1814.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1801.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
1788.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
1785.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
1722.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
1716.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
1679.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1632.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1618.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1586.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1584.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
1556.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1554.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
1543.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1520.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
1515.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1512.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
1508.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1478.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
1422.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1417.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1417.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1412.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
1393.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
1354.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
1327.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
1319.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
1309.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
1300.5
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1289.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1270.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
1265.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1243.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1225.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1192.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
1156.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
1156.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1081.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
1075.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1032.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
1030.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1012.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
976.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
967.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
965.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
947.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
945.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
933.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
926.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
923.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
904.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
903.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
883.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
866.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
864.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
861.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
855.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
824.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
820.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
819.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
803.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
790.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
771.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
754.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
743.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
741.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
740.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
729.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
728.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
725.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
715.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
714.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
712.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
686.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
666.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
656.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
639.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
638.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
630.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
629.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
613.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
608.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
603.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
602.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
598.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
596.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
592.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
590.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
576.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
562.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
548.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
538.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
537.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
536.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
505.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
502.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
453.0
DO45217
69 years, female, NA, stage:3, dead, 270 days
450.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
432.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
431.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
419.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
402.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
393.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
376.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
375.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
366.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
361.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
357.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
352.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
347.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
335.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
311.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
299.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
286.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
284.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
279.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
272.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
269.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
261.0
DO50814
83 years, male, NA, stage:3, alive, 420 days
252.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
245.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
228.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
209.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
193.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
175.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
160.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
139.7
DO45193
68 years, female, NA, stage:4, dead, 120 days
117.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
111.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
95.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
80.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
76.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
70.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
61.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
46.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
36.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
27.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
25.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
20.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
20.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
12.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
9.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
5.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
4.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
3.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
2.3
671
Tumor
2.3
877
Tumor
1.9
975
Tumor
1.8
471
Tumor
1.7
713
Tumor
1.5
393
Tumor
1.3
557
Tumor
1.2
467
Tumor
1.1
223
Tumor
1.0
125
Tumor
0.9
425
Tumor
0.9
395
Tumor
0.9
217
Tumor
0.8
745
Tumor
0.8
813
Tumor
0.8
224
Normal
0.8
526
Normal
0.8
385
Tumor
0.8
857
Tumor
0.8
375
Tumor
0.7
353
Tumor
0.7
311
Tumor
0.7
218
Normal
0.7
523
Tumor
0.7
524
Normal
0.6
536
Normal
0.6
451
Tumor
0.6
195
Tumor
0.6
697
Tumor
0.6
817
Tumor
0.5
391
Tumor
0.5
981
Tumor
0.5
525
Tumor
0.5
672
Normal
0.5
573
Tumor
0.5
823
Tumor
0.5
286
Normal
0.4
392
Normal
0.4
1025
Tumor
0.4
344
Normal
0.4
863
Tumor
0.4
221
Tumor
0.4
527
Tumor
0.4
937
Tumor
0.4
665
Tumor
0.4
396
Normal
0.4
135
Tumor
0.4
352
Normal
0.4
191
Tumor
0.4
545
Tumor
0.3
558
Normal
0.3
641
Tumor
0.3
498
Normal
0.3
137
Tumor
0.3
517
Tumor
0.3
785
Tumor
0.3
815
Tumor
0.3
145
Tumor
0.3
917
Tumor
0.3
444
Normal
0.2
497
Tumor
0.2
488
Normal
0.2
113
Tumor
0.2
342
Normal
0.2
686
Normal
0.2
192
Normal
0.2
983
Tumor
0.2
228
Normal
0.2
422
Normal
0.2
455
Tumor
0.2
514
Normal
0.2
491
Tumor
0.2
968
Normal
0.2
368
Normal
0.2
285
Tumor
0.2
297
Tumor
0.2
884
Normal
0.2
636
Normal
0.1
394
Normal
0.1
568
Normal
0.1
642
Normal
0.1
351
Tumor
0.1
778
Normal
0.1
142
Normal
0.1
447
Tumor
0.1
1026
Normal
0.1
1015
Tumor
0.1
696
Normal
0.1
1022
Normal
0.1
967
Tumor
0.1
535
Tumor
0.1
814
Normal
0.1
384
Normal
0.1
954
Normal
0.1
257
Tumor
0.1
433
Tumor
0.1
331
Tumor
0.1
528
Normal
0.1
376
Normal
0.0
492
Normal
0.0
1045
Tumor
0.0
572
Normal
0.0
963
Tumor
0.0
881
Tumor
0.0
574
Normal
0.0
494
Normal
0.0
261
Tumor
0.0
538
Normal
0.0
685
Tumor
0.0
618
Normal
0.0
468
Normal
0.0
944
Normal
0.0
443
Tumor
0.0
926
Normal
0.0
1044
Normal
0.0
666
Normal
0.0
354
Normal
0.0
448
Normal
0.0
283
Tumor
0.0
938
Normal
0.0
332
Normal
0.0
421
Tumor
0.0
212
Normal
0.0
617
Tumor
0.0
616
Normal
0.0
563
Tumor
-0.1
196
Normal
-0.1
721
Tumor
-0.1
111
Normal
-0.1
982
Normal
-0.1
187
Tumor
-0.1
364
Normal
-0.1
546
Normal
-0.1
446
Normal
-0.1
956
Normal
-0.1
388
Normal
-0.1
786
Normal
-0.1
723
Tumor
-0.1
1016
Normal
-0.1
953
Tumor
-0.1
213
Tumor
-0.1
493
Tumor
-0.1
964
Normal
-0.1
567
Tumor
-0.1
943
Tumor
-0.1
314
Normal
-0.1
518
Normal
-0.1
918
Normal
-0.1
463
Tumor
-0.1
358
Normal
-0.1
722
Normal
-0.1
232
Normal
-0.1
716
Normal
-0.1
728
Normal
-0.2
185
Tumor
-0.2
461
Tumor
-0.2
984
Normal
-0.2
958
Normal
-0.2
1046
Normal
-0.2
924
Normal
-0.2
462
Normal
-0.2
482
Normal
-0.2
756
Normal
-0.2
341
Tumor
-0.2
414
Normal
-0.2
714
Normal
-0.2
124
Normal
-0.2
481
Tumor
-0.2
664
Normal
-0.2
386
Normal
-0.2
413
Tumor
-0.2
284
Normal
-0.2
858
Normal
-0.2
564
Normal
-0.2
367
Tumor
-0.2
445
Tumor
-0.2
615
Tumor
-0.2
148
Normal
-0.2
951
Tumor
-0.2
141
Tumor
-0.2
916
Normal
-0.2
914
Normal
-0.2
426
Normal
-0.2
553
Tumor
-0.2
648
Normal
-0.3
746
Normal
-0.3
1028
Normal
-0.3
222
Normal
-0.3
976
Normal
-0.3
866
Normal
-0.3
952
Normal
-0.3
146
Normal
-0.3
474
Normal
-0.3
363
Tumor
-0.3
456
Normal
-0.3
1021
Tumor
-0.3
472
Normal
-0.3
432
Normal
-0.3
966
Normal
-0.3
126
Normal
-0.3
534
Normal
-0.3
662
Normal
-0.3
571
Tumor
-0.3
262
Normal
-0.3
554
Normal
-0.3
816
Normal
-0.3
277
Tumor
-0.3
112
Tumor
-0.3
298
Normal
-0.3
635
Tumor
-0.3
1014
Normal
-0.3
978
Normal
-0.3
882
Normal
-0.3
466
Normal
-0.3
484
Normal
-0.3
214
Normal
-0.3
883
Tumor
-0.3
258
Normal
-0.3
513
Tumor
-0.3
478
Normal
-0.4
186
Normal
-0.4
313
Tumor
-0.4
361
Tumor
-0.4
365
Tumor
-0.4
424
Normal
-0.4
912
Normal
-0.4
312
Normal
-0.4
487
Tumor
-0.4
147
Tumor
-0.4
1042
Normal
-0.4
516
Normal
-0.4
268
Normal
-0.4
922
Normal
-0.4
724
Normal
-0.4
452
Normal
-0.4
663
Tumor
-0.4
267
Tumor
-0.4
383
Tumor
-0.4
742
Normal
-0.4
878
Normal
-0.4
695
Tumor
-0.4
327
Tumor
-0.4
138
Normal
-0.4
824
Normal
-0.4
627
Tumor
-0.4
861
Tumor
-0.4
415
Tumor
-0.4
862
Normal
-0.5
328
Normal
-0.5
132
Normal
-0.5
743
Tumor
-0.5
755
Tumor
-0.5
744
Normal
-0.5
1043
Tumor
-0.5
162
Normal
-0.5
464
Normal
-0.5
818
Normal
-0.5
777
Tumor
-0.5
628
Normal
-0.5
852
Normal
-0.5
136
Normal
-0.5
661
Tumor
-0.5
868
Normal
-0.5
715
Tumor
-0.5
515
Tumor
-0.5
278
Normal
-0.5
172
Normal
-0.5
483
Tumor
-0.5
865
Tumor
-0.5
436
Normal
-0.5
362
Normal
-0.5
533
Tumor
-0.6
227
Tumor
-0.6
434
Normal
-0.6
128
Normal
-0.6
366
Normal
-0.6
851
Tumor
-0.6
738
Normal
-0.6
114
Normal
-0.6
188
Normal
-0.6
211
Tumor
-0.6
864
Normal
-0.6
1041
Tumor
-0.6
741
Tumor
-0.7
387
Tumor
-0.7
647
Tumor
-0.7
428
Normal
-0.7
1032
Normal
-0.7
913
Tumor
-0.7
272
Normal
-0.7
416
Normal
-0.7
357
Tumor
-0.7
737
Tumor
-0.7
431
Tumor
-0.7
356
Normal
-0.7
131
Tumor
-0.7
955
Tumor
-0.7
355
Tumor
-0.8
915
Tumor
-0.8
465
Tumor
-0.8
925
Tumor
-0.8
423
Tumor
-0.8
874
Normal
-0.8
965
Tumor
-0.9
537
Tumor
-0.9
271
Tumor
-0.9
911
Tumor
-0.9
727
Tumor
-0.9
1027
Tumor
-0.9
698
Normal
-0.9
873
Tumor
-0.9
161
Tumor
-0.9
867
Tumor
-0.9
412
Normal
-0.9
127
Tumor
-0.9
977
Tumor
-1.0
923
Tumor
-1.0
477
Tumor
-1.0
921
Tumor
-1.1
435
Tumor
-1.1
231
Tumor
-1.1
123
Tumor
-1.1
957
Tumor
-1.1
427
Tumor
-1.2
1013
Tumor
-1.2
171
Tumor
-1.4
473
Tumor
-1.5
1031
Tumor
-1.5
411
Tumor
-2.1
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.