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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 pTPM
15316.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
90390.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
64488.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
54576.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
53712.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
45377.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
44769.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
43891.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
43001.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
37742.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
37571.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
37062.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
36969.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
36269.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
35452.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
35147.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
34753.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
34317.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
33769.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
33692.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
32844.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
32265.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
31808.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
31570.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
31269.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
30970.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
30723.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
30655.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
28517.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
28214.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
28149.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
27972.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
27948.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
27385.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
27329.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
27313.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
27070.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
26893.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
26800.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
26422.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
26405.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
26296.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
26235.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
26134.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
25929.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
25862.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
25667.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
25639.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
25349.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
25084.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
24816.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
24609.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
24321.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
24166.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
24163.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
23654.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
23567.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
23543.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
23524.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
23515.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
23489.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
23136.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
22997.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
22920.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
22914.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
22792.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
22785.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
22722.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
22677.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
22670.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
22460.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
22390.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
22319.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
22220.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
22077.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
22059.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
22000.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
21848.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
21625.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
21397.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
21055.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
20507.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
20491.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
20382.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
20290.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
20162.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
20081.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
19945.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
19803.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
19739.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
19708.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
19415.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
19401.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
19328.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
19219.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
19183.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
19133.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
19093.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
19031.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
18840.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
18827.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
18794.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
18694.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
18664.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
18654.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
18606.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
18416.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
18416.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
18405.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
18365.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
18343.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
18340.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
18284.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
18229.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
18090.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
18070.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
18035.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
17810.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
17739.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
17676.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
17396.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
17334.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
17157.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
17146.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
17137.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
17124.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
17031.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
16831.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
16739.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
16684.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
16673.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
16659.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
16599.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
16589.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
16573.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
16533.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
16354.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
16327.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
16318.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
16256.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
15989.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
15803.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
15642.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
15591.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
15347.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
15326.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
15180.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
15153.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
15080.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
15066.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
15037.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
15030.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
15012.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
14963.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
14928.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
14911.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
14807.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
14720.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
14700.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
14440.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
14435.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
14432.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
14419.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
14331.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
14325.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
14235.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
14183.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
14141.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
14121.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
14115.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
14106.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
14072.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
13912.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
13863.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
13816.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
13793.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
13764.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
13746.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
13717.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
13632.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
13615.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
13492.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
13478.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
13454.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
13443.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
13440.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
13418.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
13382.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
13359.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
13243.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
13207.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
13180.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
13113.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
13110.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
12919.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
12872.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
12866.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
12690.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
12547.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
12516.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
12272.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
12245.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
12192.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
12183.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
12115.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
12048.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
12025.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
11952.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
11800.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
11788.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
11786.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
11636.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
11582.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
11466.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
11333.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
11256.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
11242.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
11230.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
11159.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
11153.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
11146.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
11108.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
10977.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
10923.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
10863.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
10857.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
10741.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
10718.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
10577.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
10547.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
10544.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
10536.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
10527.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
10442.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
10423.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
10372.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
10349.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
10340.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
10229.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
10153.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
10144.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
10018.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
9984.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
9916.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
9897.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
9894.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
9794.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
9785.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
9773.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
9659.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
9651.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
9560.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
9523.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
9482.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
9430.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
9402.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
9395.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
9256.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
9210.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
9184.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
9182.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
8891.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
8886.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
8796.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
8786.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
8580.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
8528.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
8520.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
8511.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
8506.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8493.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
8479.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
8477.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
8469.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
8468.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
8294.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
8281.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
8277.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
8231.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
8197.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
8158.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
8132.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
8106.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
8075.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
7991.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
7919.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
7871.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
7835.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
7815.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
7806.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
7411.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7354.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
7246.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
7200.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
7071.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
7039.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6999.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
6978.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
6967.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
6910.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
6873.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
6823.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
6648.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
6533.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
6468.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
6450.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
6431.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
6309.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6295.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
6277.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
6244.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
6241.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
6182.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
6118.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
6020.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
5995.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
5990.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
5844.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
5675.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
5649.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5528.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
5316.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5312.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
5305.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
5254.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
5193.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
5013.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
5006.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
4774.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4774.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4712.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
4667.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
4409.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4356.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4345.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4296.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4269.9
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4202.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4189.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4171.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4067.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
4012.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
3857.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
3837.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3501.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3228.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3045.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2997.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2838.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2776.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2773.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2713.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2601.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2524.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2496.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2458.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2379.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2085.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
802.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
364.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
257.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
100.5
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 pTPM
11499.2
Number of samples
231
Samples
Sample
Description
pTPM
DO45191
61 years, female, NA, stage:2, alive, 1200 days
45270.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
37287.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
35366.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
34807.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
33230.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
29705.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
28834.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
27315.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
27244.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
26655.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
26337.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
26258.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
25854.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
25609.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
24620.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
24613.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
24331.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
23796.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
23191.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
22048.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
22003.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
21966.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
21858.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
21781.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
21487.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
21209.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
20648.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
20479.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
20244.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
20132.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
19786.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
19481.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
19044.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
18964.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
18740.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
18591.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
18464.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
18302.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
17979.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
17931.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
17903.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
17886.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
17882.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
17787.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
17463.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
17444.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
17278.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
17049.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
17015.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
16767.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
16753.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
16544.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
16537.4
DO48727
81 years, female, NA, stage:2, dead, 390 days
16517.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
16479.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
16102.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
15840.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
15527.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
15480.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
15403.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
15111.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
15021.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
14993.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
14933.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
14725.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
14621.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
14558.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
14540.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
14454.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
14422.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
14270.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
14003.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
13790.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
13722.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
13365.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
13006.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
12884.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
12582.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
12567.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
12491.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
12475.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
12391.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
12209.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
12194.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
12188.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
12173.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
12134.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
12032.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
11886.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
11818.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
11801.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
11741.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
11704.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
11690.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
11665.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
11593.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
11419.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
11408.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
11381.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
11315.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
11241.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
11206.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
10698.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
10677.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
10637.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
10619.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
10610.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
10579.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
10548.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
10339.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
10277.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
10230.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
10213.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
10181.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
10153.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
10100.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
10049.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
10033.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
10015.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
9928.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
9853.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
9766.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
9717.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
9685.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
9568.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
9438.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
9405.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
9400.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
9379.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
9372.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
9209.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
9157.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
9138.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
9078.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
9070.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
9048.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
9035.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
8990.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
8972.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
8856.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
8607.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
8499.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
8451.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
8384.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
8380.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
8290.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
8252.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
8231.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
8149.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
8086.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
7956.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
7894.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
7837.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
7719.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
7651.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
7617.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
7452.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
7347.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
7301.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
7259.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
7212.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
7154.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
7114.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
6772.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
6663.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
6599.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
6498.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
6402.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
6393.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
6341.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
6157.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
5990.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
5930.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
5767.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
5760.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
5750.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
5698.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
5682.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5592.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
5550.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
5524.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
5457.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
5294.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
5213.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4920.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
4908.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4731.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
4686.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
4561.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4432.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
4419.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
4388.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
4292.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
4285.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
4133.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
4021.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3938.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
3920.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
3910.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
3881.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
3744.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3708.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
3662.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
3548.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
3452.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
3359.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
3302.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
3223.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
2958.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
2930.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
2731.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2619.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
2556.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
2358.3
DO45307
54 years, female, NA, stage:4, dead, 240 days
2251.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
2190.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
1955.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
1644.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1505.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
1438.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
1411.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
1263.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1164.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
836.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
619.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
518.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
477.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
461.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
89.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
51.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
31.3
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
