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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.
SERPINA1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13009.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
75812.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
56787.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
47515.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
47134.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
38620.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
37439.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
37329.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
35301.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
32479.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
31782.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
31062.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
30795.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
30693.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
30626.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
30477.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
29412.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
29149.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
29056.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
28700.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
27861.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
27700.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
27294.0
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
27219.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
26843.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
26553.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
26290.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
26170.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
24568.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
24313.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
24307.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
23656.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
23643.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
23410.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
23323.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
23230.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
23076.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
22978.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
22958.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
22878.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
22867.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
22679.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
22560.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
22490.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
22474.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
22190.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
21903.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
21613.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
21498.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
21355.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
21063.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
20742.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
20689.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
20637.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
20511.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
20373.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
20367.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
20232.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
20218.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
20148.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
19861.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
19851.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
19794.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
19595.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
19525.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
19278.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
19236.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
19194.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
19088.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
18884.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
18820.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
18793.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
18586.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
18519.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
18337.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
18152.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
18088.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
18053.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
17982.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
17877.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
17796.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
17607.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
17511.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
17468.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
17272.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
17269.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
17268.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
17140.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
17131.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
16867.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
16685.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
16681.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
16642.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
16636.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
16552.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
16547.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
16454.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
16312.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
15933.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
15900.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
15820.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
15807.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
15794.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
15743.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
15693.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
15658.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
15581.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
15580.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
15565.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
15543.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
15499.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
15496.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
15475.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
15459.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
15366.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
15291.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
15278.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
15174.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
14947.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
14908.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
14765.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
14751.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
14678.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
14553.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
14506.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
14472.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
14432.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
14429.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
14397.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
14177.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
14146.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
14034.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
14028.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
13989.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
13973.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
13927.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
13834.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
13753.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
13638.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
13531.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
13359.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
13256.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
13208.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
13021.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
13021.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
12994.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
12887.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
12813.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
12794.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
12790.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
12770.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
12749.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
12710.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
12579.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
12433.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
12429.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
12359.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
12288.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
12264.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
12260.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
12239.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
12164.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
12084.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
12038.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
12035.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
12018.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
12012.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
12003.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
11990.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
11972.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
11964.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
11964.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
11944.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
11917.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
11890.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
11881.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
11852.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
11820.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
11797.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
11712.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
11568.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
11557.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
11550.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
11361.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
11355.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
11317.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
11300.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
11253.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
11232.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
11206.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
11130.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
11115.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
11090.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
10893.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
10893.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
10873.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
10711.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
10528.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
10488.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
10487.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
10463.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
10372.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
10340.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
10301.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
10236.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
10189.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
10122.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
10087.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
9995.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
9993.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
9991.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
9911.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
9877.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
9808.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
9796.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
9643.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
9535.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
9519.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
9456.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
9454.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
9424.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
9254.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9222.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
9203.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
9195.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
9172.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
9122.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
9102.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
9069.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
9035.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
9030.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
8997.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
8959.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
8955.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
8918.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
8855.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
8747.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
8688.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
8672.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
8594.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
8570.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
8482.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
8461.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
8401.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
8394.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
8364.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
8357.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
8325.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
8230.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
8209.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
8193.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
8106.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
8100.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
8099.4
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
7927.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
7844.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
7785.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
7766.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
7752.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
7748.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
7679.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
7606.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
7537.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
7427.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
7408.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
7294.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
7291.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
7266.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
7248.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
7222.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
7221.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
7209.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
7201.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
7198.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7194.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
7082.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
7072.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
7065.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
7057.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
7006.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
7002.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
6917.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
6804.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
6760.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
6712.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
6659.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
6555.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6460.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
6447.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
6386.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
6364.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
6090.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6083.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6050.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6034.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
5991.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
5941.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
5850.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5834.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
5782.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5781.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
5716.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
5708.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
5627.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
5623.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
5603.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5585.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
5509.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5498.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
5372.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
5350.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
5324.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
5178.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
5156.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
5147.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
5001.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4996.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4913.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4901.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4833.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4709.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4571.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4570.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4521.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
4468.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
4347.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
4306.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4090.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
4083.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
4045.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3946.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
3903.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3814.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
3667.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
3656.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3619.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3615.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3573.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3571.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
3531.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3502.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3462.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3321.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3259.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2866.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2839.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2559.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2427.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2417.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2392.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2376.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2323.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2261.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2194.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2137.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2101.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1999.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1747.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
635.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
303.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
211.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
81.9
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.
SERPINA1 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
6864.3
Number of samples
231
Samples
Sample
Description
TPM
DO45191
61 years, female, NA, stage:2, alive, 1200 days
25538.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
22292.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
20913.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
19493.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
19214.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
18625.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
17219.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
16138.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
15978.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
15852.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
15820.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
15590.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
15544.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
15312.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
14966.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
14872.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
14750.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
14319.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
14299.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
13954.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
13514.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
13202.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
13063.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
13040.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
12986.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
12790.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
12760.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
12568.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
12538.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
12318.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
12212.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
12051.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
11812.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
11772.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
11592.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
11380.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
11026.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
10874.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
10826.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
10760.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
10738.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
10691.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
10691.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
10437.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
10391.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
10352.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
10238.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
10222.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
10221.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
10189.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
10031.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
9925.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
9912.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
9855.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
9848.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
9813.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
9743.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
9706.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
9423.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
9422.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
9289.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
9247.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
9216.8
DO48682
72 years, female, NA, stage:3, dead, 120 days
9064.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
8911.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
8681.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
8676.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
8403.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
8398.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
8393.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
8249.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
8197.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
8062.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
8029.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
8002.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
7922.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
7901.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
7763.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
7740.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
7640.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
7626.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
7565.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
7561.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
7519.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
7470.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
7395.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
7256.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
7227.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
7187.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
7121.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
7118.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
7091.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
7013.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
7003.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
6985.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
6983.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
6885.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
6882.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
6794.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
6787.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
6779.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
6615.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
6610.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
6547.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
6460.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
6423.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
6396.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
6387.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
6333.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
6318.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
6266.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
6182.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
6122.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
6096.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
6075.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
6020.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
6017.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
6010.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
5960.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
5955.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
5948.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
5930.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
5926.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
5909.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
5882.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
5870.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
5859.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
5759.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
5609.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
5433.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
5356.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
5290.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
5279.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
5231.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5131.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
5119.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
5096.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
5089.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
5073.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
5044.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
5036.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
4930.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
4865.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4734.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
4734.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
4733.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
4700.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
4639.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4623.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
4602.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4596.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
4566.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
4522.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
4488.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
4482.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
4407.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
4391.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
4362.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4228.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4169.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
4157.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
4127.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
4103.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
3999.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
3960.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
3952.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
3866.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3784.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3779.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3592.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
3566.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
3501.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
3500.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3479.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
3478.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3460.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
3398.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
3365.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
3346.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
3294.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
3157.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
3085.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3005.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2918.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
2912.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
2891.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2852.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
2801.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
2683.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2636.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
2632.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
2618.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
2548.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
2519.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2475.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
2384.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2331.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
2253.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
2223.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2184.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
2176.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
2111.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
2064.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2010.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1949.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1873.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
1824.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1736.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
1689.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
1592.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
1401.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1352.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1347.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
1339.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1319.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
1277.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1233.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
1022.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
907.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
799.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
793.7
DO45205
67 years, female, NA, stage:2, dead, 90 days
604.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
559.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
533.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
322.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
254.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
249.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
231.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
52.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
29.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
19.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
535
Tumor
1.8
877
Tumor
1.8
343
Tumor
1.6
815
Tumor
1.6
671
Tumor
1.4
743
Tumor
1.3
813
Tumor
1.3
713
Tumor
1.3
536
Normal
1.2
135
Tumor
1.2
697
Tumor
1.2
192
Normal
1.1
863
Tumor
1.1
125
Tumor
1.0
224
Normal
1.0
223
Tumor
0.9
375
Tumor
0.9
283
Tumor
0.8
983
Tumor
0.8
425
Tumor
0.8
665
Tumor
0.8
975
Tumor
0.8
745
Tumor
0.8
395
Tumor
0.7
311
Tumor
0.7
497
Tumor
0.7
672
Normal
0.7
857
Tumor
0.6
384
Normal
0.6
498
Normal
0.6
393
Tumor
0.6
444
Normal
0.6
391
Tumor
0.6
471
Tumor
0.5
814
Normal
0.5
785
Tumor
0.5
517
Tumor
0.5
817
Tumor
0.5
217
Tumor
0.5
557
Tumor
0.5
297
Tumor
0.4
967
Tumor
0.4
527
Tumor
0.4
331
Tumor
0.4
558
Normal
0.4
524
Normal
0.4
385
Tumor
0.4
1044
Normal
0.4
917
Tumor
0.4
1045
Tumor
0.4
851
Tumor
0.4
641
Tumor
0.4
523
Tumor
0.4
191
Tumor
0.4
617
Tumor
0.4
953
Tumor
0.4
261
Tumor
0.3
1041
Tumor
0.3
383
Tumor
0.3
573
Tumor
0.3
545
Tumor
0.3
636
Normal
0.3
491
Tumor
0.3
884
Normal
0.3
881
Tumor
0.3
958
Normal
0.3
981
Tumor
0.3
968
Normal
0.3
363
Tumor
0.3
447
Tumor
0.3
126
Normal
0.3
568
Normal
0.3
228
Normal
0.2
187
Tumor
0.2
956
Normal
0.2
488
Normal
0.2
455
Tumor
0.2
367
Tumor
0.2
553
Tumor
0.2
563
Tumor
0.2
737
Tumor
0.2
467
Tumor
0.2
494
Normal
0.2
195
Tumor
0.2
741
Tumor
0.2
526
Normal
0.2
131
Tumor
0.2
924
Normal
0.2
574
Normal
0.2
344
Normal
0.2
982
Normal
0.2
396
Normal
0.2
352
Normal
0.2
852
Normal
0.2
227
Tumor
0.2
421
Tumor
0.2
218
Normal
0.1
448
Normal
0.1
954
Normal
0.1
778
Normal
0.1
368
Normal
0.1
984
Normal
0.1
695
Tumor
0.1
1026
Normal
0.1
285
Tumor
0.1
492
Normal
0.1
354
Normal
0.1
353
Tumor
0.1
1022
Normal
0.1
546
Normal
0.1
212
Normal
0.1
921
Tumor
0.1
284
Normal
0.1
392
Normal
0.1
328
Normal
0.1
286
Normal
0.1
744
Normal
0.1
866
Normal
0.1
1025
Tumor
0.1
514
Normal
0.1
137
Tumor
0.1
685
Tumor
0.1
572
Normal
0.1
1042
Normal
0.1
332
Normal
0.1
422
Normal
0.1
364
Normal
0.1
113
Tumor
0.1
951
Tumor
0.1
445
Tumor
0.1
474
Normal
0.0
1028
Normal
0.0
394
Normal
0.0
433
Tumor
0.0
463
Tumor
0.0
722
Normal
0.0
723
Tumor
0.0
865
Tumor
0.0
1015
Tumor
0.0
715
Tumor
0.0
696
Normal
0.0
525
Tumor
0.0
686
Normal
0.0
916
Normal
0.0
312
Normal
0.0
922
Normal
0.0
342
Normal
0.0
571
Tumor
0.0
918
Normal
0.0
615
Tumor
0.0
926
Normal
0.0
938
Normal
0.0
478
Normal
0.0
468
Normal
0.0
142
Normal
0.0
188
Normal
0.0
627
Tumor
0.0
413
Tumor
0.0
451
Tumor
0.0
966
Normal
0.0
635
Tumor
0.0
816
Normal
0.0
528
Normal
0.0
883
Tumor
-0.1
376
Normal
-0.1
1043
Tumor
-0.1
716
Normal
-0.1
1014
Normal
-0.1
963
Tumor
-0.1
232
Normal
-0.1
976
Normal
-0.1
358
Normal
-0.1
221
Tumor
-0.1
862
Normal
-0.1
666
Normal
-0.1
944
Normal
-0.1
1046
Normal
-0.1
661
Tumor
-0.1
823
Tumor
-0.1
424
Normal
-0.1
628
Normal
-0.1
185
Tumor
-0.1
124
Normal
-0.1
567
Tumor
-0.1
186
Normal
-0.1
361
Tumor
-0.1
1027
Tumor
-0.1
721
Tumor
-0.1
642
Normal
-0.1
386
Normal
-0.1
662
Normal
-0.1
618
Normal
-0.1
434
Normal
-0.1
964
Normal
-0.1
777
Tumor
-0.1
538
Normal
-0.1
728
Normal
-0.1
426
Normal
-0.1
213
Tumor
-0.1
387
Tumor
-0.1
351
Tumor
-0.1
868
Normal
-0.1
516
Normal
-0.1
138
Normal
-0.2
145
Tumor
-0.2
487
Tumor
-0.2
564
Normal
-0.2
214
Normal
-0.2
746
Normal
-0.2
461
Tumor
-0.2
648
Normal
-0.2
196
Normal
-0.2
952
Normal
-0.2
1016
Normal
-0.2
355
Tumor
-0.2
414
Normal
-0.2
472
Normal
-0.2
415
Tumor
-0.2
864
Normal
-0.2
647
Tumor
-0.2
616
Normal
-0.2
1021
Tumor
-0.2
738
Normal
-0.2
518
Normal
-0.2
663
Tumor
-0.2
878
Normal
-0.2
114
Normal
-0.2
554
Normal
-0.2
146
Normal
-0.2
327
Tumor
-0.2
965
Tumor
-0.2
914
Normal
-0.2
493
Tumor
-0.2
955
Tumor
-0.2
513
Tumor
-0.2
664
Normal
-0.2
257
Tumor
-0.2
978
Normal
-0.2
818
Normal
-0.2
365
Tumor
-0.2
1032
Normal
-0.2
388
Normal
-0.2
432
Normal
-0.2
277
Tumor
-0.2
111
Normal
-0.2
416
Normal
-0.2
141
Tumor
-0.3
362
Normal
-0.3
481
Tumor
-0.3
861
Tumor
-0.3
356
Normal
-0.3
211
Tumor
-0.3
858
Normal
-0.3
756
Normal
-0.3
314
Normal
-0.3
943
Tumor
-0.3
431
Tumor
-0.3
515
Tumor
-0.3
136
Normal
-0.3
262
Normal
-0.3
452
Normal
-0.3
923
Tumor
-0.3
724
Normal
-0.3
341
Tumor
-0.3
698
Normal
-0.3
112
Tumor
-0.3
271
Tumor
-0.3
446
Normal
-0.3
882
Normal
-0.3
742
Normal
-0.3
462
Normal
-0.3
466
Normal
-0.3
482
Normal
-0.4
824
Normal
-0.4
464
Normal
-0.4
786
Normal
-0.4
977
Tumor
-0.4
484
Normal
-0.4
443
Tumor
-0.4
148
Normal
-0.4
456
Normal
-0.4
428
Normal
-0.4
267
Tumor
-0.4
534
Normal
-0.4
915
Tumor
-0.4
912
Normal
-0.4
714
Normal
-0.4
755
Tumor
-0.4
128
Normal
-0.4
268
Normal
-0.4
132
Normal
-0.5
483
Tumor
-0.5
313
Tumor
-0.5
423
Tumor
-0.5
147
Tumor
-0.5
873
Tumor
-0.5
874
Normal
-0.5
911
Tumor
-0.5
272
Normal
-0.5
937
Tumor
-0.5
298
Normal
-0.5
258
Normal
-0.5
278
Normal
-0.5
357
Tumor
-0.5
366
Normal
-0.5
412
Normal
-0.5
222
Normal
-0.5
727
Tumor
-0.6
925
Tumor
-0.6
957
Tumor
-0.6
172
Normal
-0.6
913
Tumor
-0.6
411
Tumor
-0.6
231
Tumor
-0.6
867
Tumor
-0.7
162
Normal
-0.8
427
Tumor
-0.8
465
Tumor
-0.8
436
Normal
-0.9
127
Tumor
-0.9
477
Tumor
-0.9
1031
Tumor
-0.9
435
Tumor
-0.9
537
Tumor
-0.9
1013
Tumor
-0.9
473
Tumor
-0.9
123
Tumor
-1.0
533
Tumor
-1.1
161
Tumor
-1.1
171
Tumor
-1.1
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.
The Human Protein Atlas project is funded
