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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.
APOC2 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
6709.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
26537.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
21178.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
20794.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
20790.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
19974.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
19850.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
19578.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
18723.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
18029.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
17927.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
17197.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
17098.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
16729.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
16448.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
16236.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
15933.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
15742.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
14761.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
14703.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
14536.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
13988.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
13966.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
13935.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
13590.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
13405.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
13328.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
13273.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
13264.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
13117.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
13061.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
13026.9
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
12850.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
12619.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
12505.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
12319.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
12277.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
12115.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
11925.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
11905.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
11818.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
11814.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
11694.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
11660.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
11605.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
11586.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
11430.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
11353.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
11249.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
11149.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
11127.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
11122.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
11118.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
11008.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
10968.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
10858.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
10777.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
10680.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10424.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
10265.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
10060.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
10048.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
10044.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
9878.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
9699.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
9537.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
9489.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
9420.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
9414.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
9350.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
9224.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
9223.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
9142.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
9105.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
9104.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
9099.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
9087.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
9077.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
9024.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
9022.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
8954.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
8915.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
8909.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
8744.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
8670.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
8596.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
8531.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
8517.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
8437.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
8406.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
8376.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
8365.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
8364.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
8338.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
8328.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
8324.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
8289.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
8232.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
8207.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
8193.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
8142.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
8129.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
8128.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
8107.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
8106.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
8045.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
8009.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
7952.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
7870.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
7837.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
7806.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
7794.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
7684.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
7652.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
7614.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
7611.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
7579.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
7575.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
7539.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
7487.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
7427.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
7413.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
7406.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
7405.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7379.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
7326.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
7322.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7254.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
7232.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
7182.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
7177.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
7146.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
7128.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
7074.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
7041.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
6978.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6973.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
6967.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
6966.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
6923.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
6917.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
6905.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6866.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
6848.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
6790.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
6787.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
6734.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
6722.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
6678.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
6676.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
6657.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
6624.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6617.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
6602.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
6591.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6578.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
6572.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6569.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6528.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
6514.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
6507.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
6498.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
6474.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6464.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
6457.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6455.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
6439.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
6427.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
6423.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
6398.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
6354.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
6353.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
6219.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
6219.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
6179.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
6173.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
6128.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
6109.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
6104.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
6099.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
6088.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
6078.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
6076.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
6071.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
6043.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
6032.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
6025.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
6018.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
5994.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5970.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
5926.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5909.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5902.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
5862.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5806.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5798.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5777.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5755.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
5722.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
5692.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5673.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
5638.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
5611.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
5600.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5572.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5564.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
5560.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5541.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
5529.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
5486.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5479.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
5446.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
5444.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
5440.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
5424.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5423.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
5414.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
5382.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
5363.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
5360.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
5337.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5293.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
5286.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
5282.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5256.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
5208.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
5102.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
5075.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5035.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5001.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4993.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
4989.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4978.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4969.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4913.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
4887.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4852.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
4829.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4815.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4779.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4778.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4776.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4759.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4752.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4727.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4708.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4661.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
4646.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
4623.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4607.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4583.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4509.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
4475.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
4464.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
4463.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4438.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4430.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4417.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4378.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4293.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
4227.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
4221.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4193.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4179.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4099.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4085.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4060.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4048.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4046.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
4030.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
4005.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
3999.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3997.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3988.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3981.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3958.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3928.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3903.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3902.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3888.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3875.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3851.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3844.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3824.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3771.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3751.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3727.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3678.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3674.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3599.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
3575.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3534.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3479.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3462.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3448.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3446.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3445.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3442.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
3435.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3424.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3394.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3391.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3390.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
3378.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3372.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3363.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
3342.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3314.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3183.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2984.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2929.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2894.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2875.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2760.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2748.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2724.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2701.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2662.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2568.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2555.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2526.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2514.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2455.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2434.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2423.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2211.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2188.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2172.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2168.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2079.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1988.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1693.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1661.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1607.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1492.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1483.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1369.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1155.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1123.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1100.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
658.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
631.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
569.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
507.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
487.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
476.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
404.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
230.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
222.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
176.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
164.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
88.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
84.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
83.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
66.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
44.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
32.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
26.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
22.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
21.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
17.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
15.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 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.
APOC2 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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
6647.4
Number of samples
231
Samples
Sample
Description
pTPM
DO48721
58 years, female, NA, stage:1, alive, 900 days
23472.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
21964.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
20612.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
19438.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
18891.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
17237.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
16628.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
15966.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
15128.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
14162.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
13564.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
13456.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
13294.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
13107.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
12970.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
12854.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
12698.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
12180.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
12114.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
12011.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
11908.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
11789.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
11763.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
11530.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
11498.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
11292.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
11038.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
10905.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
10677.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
10653.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
10184.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
10169.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
10098.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
10051.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
9910.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
9869.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
9832.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
9765.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
9744.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
9719.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
9622.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
9593.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
9367.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
9361.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
9335.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
9220.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
9219.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
9062.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
9000.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
8947.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
8934.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
8925.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
8894.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
8878.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
8867.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
8865.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
8842.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
8829.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
8813.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
8756.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
8710.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
8709.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
8705.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
8587.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
8547.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
8505.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
8484.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
8473.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
8460.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
8399.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
8372.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
8183.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
8125.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
8087.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
8071.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
8032.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
7879.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
7802.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
7790.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
7763.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
7725.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7707.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
7669.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
7561.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
7524.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
7519.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
7495.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
7484.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
7473.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
7470.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
7388.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
7346.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
7343.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
7317.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
7311.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
7308.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
7188.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
7138.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
7112.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
7006.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
6938.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
6891.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
6871.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
6822.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
6817.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
6770.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
6737.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
6657.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
6652.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
6609.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
6605.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
6581.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
6569.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
6447.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
6409.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
6364.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
6353.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
6333.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
6321.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
6317.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
6242.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
6240.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
6237.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
6226.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
6224.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
6131.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
6089.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
6079.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
6073.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
6002.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
5920.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
5897.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5830.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
5817.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
5778.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
5769.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
5761.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
5649.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
5558.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
5501.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
5457.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
5444.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
5425.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
5375.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
5300.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
5256.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
5254.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
5190.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
5179.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
5108.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
5024.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4971.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
4915.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
4878.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
4874.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
4789.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
4782.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
4718.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
4715.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
4638.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
4608.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
4528.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
4518.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
4467.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
4456.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4442.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
4363.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
4331.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
4325.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
4303.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
4256.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
4194.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
4160.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4065.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
4004.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3998.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3946.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
3937.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3923.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
3844.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
3787.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
3784.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3742.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
3718.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
3648.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
3464.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
3431.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
3290.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
3112.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2914.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
2840.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
2760.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
2757.4
DO48757
68 years, female, NA, stage:3, alive, 480 days
2676.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
2636.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2596.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2357.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
2329.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2187.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
2162.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2065.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
1666.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1650.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1502.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1465.9
DO23519
65 years, male, NA, stage:3, alive, 630 days
1448.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
1328.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1159.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
1078.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
910.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
797.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
729.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
601.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
573.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
486.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
353.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
348.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
171.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
113.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
111.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
88.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
84.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
56.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
49.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
31.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
30.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
27.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
27.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
24.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
12.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
7.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
471
Tumor
N/A
351
Tumor
N/A
472
Normal
N/A
231
Tumor
N/A
352
Normal
N/A
473
Tumor
N/A
111
Normal
N/A
232
Normal
N/A
353
Tumor
N/A
474
Normal
N/A
112
Tumor
N/A
354
Normal
N/A
113
Tumor
N/A
355
Tumor
N/A
114
Normal
N/A
356
Normal
N/A
477
Tumor
N/A
357
Tumor
N/A
478
Normal
N/A
358
Normal
N/A
911
Tumor
N/A
912
Normal
N/A
913
Tumor
N/A
914
Normal
N/A
915
Tumor
N/A
916
Normal
N/A
917
Tumor
N/A
918
Normal
N/A
481
Tumor
N/A
361
Tumor
N/A
482
Normal
N/A
362
Normal
N/A
483
Tumor
N/A
363
Tumor
N/A
484
Normal
N/A
364
Normal
N/A
123
Tumor
N/A
365
Tumor
N/A
124
Normal
N/A
366
Normal
N/A
487
Tumor
N/A
125
Tumor
N/A
367
Tumor
N/A
488
Normal
N/A
126
Normal
N/A
368
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
921
Tumor
N/A
922
Normal
N/A
923
Tumor
N/A
924
Normal
N/A
925
Tumor
N/A
926
Normal
N/A
491
Tumor
N/A
492
Normal
N/A
493
Tumor
N/A
131
Tumor
N/A
494
Normal
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
497
Tumor
N/A
135
Tumor
N/A
498
Normal
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
813
Tumor
N/A
814
Normal
N/A
815
Tumor
N/A
816
Normal
N/A
937
Tumor
N/A
817
Tumor
N/A
938
Normal
N/A
818
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
147
Tumor
N/A
268
Normal
N/A
148
Normal
N/A
943
Tumor
N/A
823
Tumor
N/A
944
Normal
N/A
824
Normal
N/A
1022
Normal
N/A
1021
Tumor
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
277
Tumor
N/A
1016
Normal
N/A
278
Normal
N/A
1015
Tumor
N/A
1014
Normal
N/A
951
Tumor
N/A
1013
Tumor
N/A
952
Normal
N/A
953
Tumor
N/A
954
Normal
N/A
713
Tumor
N/A
955
Tumor
N/A
714
Normal
N/A
956
Normal
N/A
715
Tumor
N/A
957
Tumor
N/A
716
Normal
N/A
958
Normal
N/A
1032
Normal
N/A
1031
Tumor
N/A
161
Tumor
N/A
162
Normal
N/A
283
Tumor
N/A
284
Normal
N/A
285
Tumor
N/A
286
Normal
N/A
1028
Normal
N/A
1027
Tumor
N/A
1026
Normal
N/A
1025
Tumor
N/A
721
Tumor
N/A
963
Tumor
N/A
722
Normal
N/A
964
Normal
N/A
723
Tumor
N/A
965
Tumor
N/A
724
Normal
N/A
966
Normal
N/A
967
Tumor
N/A
968
Normal
N/A
727
Tumor
N/A
728
Normal
N/A
1044
Normal
N/A
1043
Tumor
N/A
1042
Normal
N/A
1041
Tumor
N/A
171
Tumor
N/A
172
Normal
N/A
297
Tumor
N/A
298
Normal
N/A
851
Tumor
N/A
852
Normal
N/A
975
Tumor
N/A
976
Normal
N/A
977
Tumor
N/A
615
Tumor
N/A
857
Tumor
N/A
978
Normal
N/A
616
Normal
N/A
737
Tumor
N/A
858
Normal
N/A
617
Tumor
N/A
738
Normal
N/A
618
Normal
N/A
185
Tumor
N/A
186
Normal
N/A
187
Tumor
N/A
188
Normal
N/A
981
Tumor
N/A
861
Tumor
N/A
982
Normal
N/A
741
Tumor
N/A
862
Normal
N/A
983
Tumor
N/A
742
Normal
N/A
863
Tumor
N/A
984
Normal
N/A
1046
Normal
N/A
743
Tumor
N/A
864
Normal
N/A
1045
Tumor
N/A
744
Normal
N/A
865
Tumor
N/A
745
Tumor
N/A
866
Normal
N/A
746
Normal
N/A
867
Tumor
N/A
868
Normal
N/A
627
Tumor
N/A
628
Normal
N/A
191
Tumor
N/A
192
Normal
N/A
195
Tumor
N/A
196
Normal
N/A
873
Tumor
N/A
874
Normal
N/A
513
Tumor
N/A
755
Tumor
N/A
514
Normal
N/A
635
Tumor
N/A
756
Normal
N/A
877
Tumor
N/A
515
Tumor
N/A
636
Normal
N/A
878
Normal
N/A
516
Normal
N/A
517
Tumor
N/A
518
Normal
N/A
881
Tumor
N/A
882
Normal
N/A
641
Tumor
N/A
883
Tumor
N/A
642
Normal
N/A
884
Normal
N/A
523
Tumor
N/A
524
Normal
N/A
525
Tumor
N/A
526
Normal
N/A
647
Tumor
N/A
527
Tumor
N/A
648
Normal
N/A
528
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
533
Tumor
N/A
413
Tumor
N/A
534
Normal
N/A
414
Normal
N/A
535
Tumor
N/A
777
Tumor
N/A
415
Tumor
N/A
536
Normal
N/A
778
Normal
N/A
416
Normal
N/A
537
Tumor
N/A
538
Normal
N/A
661
Tumor
N/A
662
Normal
N/A
421
Tumor
N/A
663
Tumor
N/A
422
Normal
N/A
664
Normal
N/A
785
Tumor
N/A
423
Tumor
N/A
665
Tumor
N/A
786
Normal
N/A
424
Normal
N/A
545
Tumor
N/A
666
Normal
N/A
425
Tumor
N/A
546
Normal
N/A
426
Normal
N/A
427
Tumor
N/A
428
Normal
N/A
671
Tumor
N/A
672
Normal
N/A
431
Tumor
N/A
311
Tumor
N/A
432
Normal
N/A
553
Tumor
N/A
312
Normal
N/A
433
Tumor
N/A
554
Normal
N/A
313
Tumor
N/A
434
Normal
N/A
314
Normal
N/A
435
Tumor
N/A
436
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
443
Tumor
N/A
564
Normal
N/A
685
Tumor
N/A
444
Normal
N/A
686
Normal
N/A
445
Tumor
N/A
446
Normal
N/A
567
Tumor
N/A
447
Tumor
N/A
568
Normal
N/A
327
Tumor
N/A
448
Normal
N/A
328
Normal
N/A
571
Tumor
N/A
451
Tumor
N/A
572
Normal
N/A
331
Tumor
N/A
452
Normal
N/A
573
Tumor
N/A
211
Tumor
N/A
332
Normal
N/A
574
Normal
N/A
695
Tumor
N/A
212
Normal
N/A
696
Normal
N/A
213
Tumor
N/A
455
Tumor
N/A
697
Tumor
N/A
214
Normal
N/A
456
Normal
N/A
698
Normal
N/A
217
Tumor
N/A
218
Normal
N/A
461
Tumor
N/A
341
Tumor
N/A
462
Normal
N/A
221
Tumor
N/A
342
Normal
N/A
463
Tumor
N/A
222
Normal
N/A
343
Tumor
N/A
464
Normal
N/A
223
Tumor
N/A
344
Normal
N/A
465
Tumor
N/A
224
Normal
N/A
466
Normal
N/A
467
Tumor
N/A
468
Normal
N/A
227
Tumor
N/A
228
Normal
N/A
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
