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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.
FTH1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3847.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
18309.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
14343.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
13815.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
13695.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
12524.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
12267.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
10460.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
10162.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
9827.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
9155.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
9056.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
9035.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
8561.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
8276.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
8071.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
8019.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
7998.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
7980.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
7929.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
7629.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
7605.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
7569.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
7540.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
7471.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
7261.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
7252.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
7245.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7127.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
7064.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
6881.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
6852.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
6712.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
6607.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
6551.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
6495.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
6486.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
6485.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
6465.0
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6426.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
6347.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
6334.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
6286.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6282.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
6260.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
6225.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
6202.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
6160.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
6068.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5981.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5931.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
5837.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5834.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5828.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
5813.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5760.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5677.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
5658.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
5613.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
5570.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
5531.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5514.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
5439.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
5424.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5375.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
5332.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
5288.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
5277.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5228.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5223.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
5190.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
5172.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5141.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5101.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
5078.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5033.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
5020.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5007.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4954.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
4950.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
4935.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
4909.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4895.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
4890.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4861.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4828.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
4826.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4824.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
4778.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4750.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
4741.1
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4735.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4703.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4694.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
4684.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4549.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4548.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4527.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4518.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4505.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
4470.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4468.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4432.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4383.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
4378.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
4331.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
4317.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
4294.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4279.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4277.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
4270.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
4260.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4205.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4202.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4183.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4171.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4127.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4116.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
4103.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4095.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4067.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
4021.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4016.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4002.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3952.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3945.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3931.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3895.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3885.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
3878.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3866.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3866.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3862.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3858.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3858.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3814.2
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3800.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3794.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3790.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
3779.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3761.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3753.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3749.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3734.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3699.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3685.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3683.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3673.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3657.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
3626.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3614.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3610.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3606.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3604.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3602.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3593.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3584.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3582.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3573.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3570.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3561.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3536.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3530.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3522.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3513.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3508.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3502.4
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3487.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
3474.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3456.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3454.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3439.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3431.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
3416.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3414.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3372.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3371.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3344.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3332.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3317.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
3310.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3310.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3299.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3279.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3279.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
3257.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3248.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3239.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3234.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3222.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3212.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3207.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3205.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
3205.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3199.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3171.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3165.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3145.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3140.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3136.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3125.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3103.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3074.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3072.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3070.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3068.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3057.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3044.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3042.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3014.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3014.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2990.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2988.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
2988.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2979.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2960.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2947.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2928.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2923.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2863.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2861.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2847.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2835.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2827.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2827.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2815.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2808.7
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
2795.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
2792.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2787.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2778.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2776.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2761.2
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2757.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2742.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2739.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2710.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2692.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2687.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2679.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2662.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2657.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2657.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
2649.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2645.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2639.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2636.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2607.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2603.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2589.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2589.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2581.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2579.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2577.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2573.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2564.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2530.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2513.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2494.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2468.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2452.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2452.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2435.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2421.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2411.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2409.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2408.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2390.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2388.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2385.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2381.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2354.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2343.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2338.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2317.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2311.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2299.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2298.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2259.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2251.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2239.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2238.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2224.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2205.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2198.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2192.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2189.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2188.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2180.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2175.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2175.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2168.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2158.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2143.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2141.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2128.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2122.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2119.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2117.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2114.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2106.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2084.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2074.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2074.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2067.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2063.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2056.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2054.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2045.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2043.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2013.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2009.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1985.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1970.4
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1964.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1948.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1947.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1942.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1939.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1910.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1895.2
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1890.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1881.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1878.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1872.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1866.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1847.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1811.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1800.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
1795.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1791.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1788.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1742.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1739.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1732.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1729.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1724.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1690.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1689.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1667.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1666.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1643.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1632.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1618.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1547.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1520.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1438.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1428.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1426.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1422.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1392.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1364.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1356.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1262.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1255.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1252.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1239.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1223.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1211.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1076.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1033.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
959.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 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.
FTH1 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2608.6
Number of samples
231
Samples
Sample
Description
TPM
DO23519
65 years, male, NA, stage:3, alive, 630 days
12758.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
12198.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
8734.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
8594.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
7877.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
7757.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
6917.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
6901.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
6772.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
6060.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
5905.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
5695.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
5614.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
5385.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5277.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
5264.7
DO45157
62 years, male, NA, stage:2, alive, 1980 days
5262.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
5021.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
5011.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4905.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
4900.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
4802.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
4751.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
4540.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
4507.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
4439.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
4391.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
4377.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
4261.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
4208.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
4164.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
4148.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
4038.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
3982.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
3922.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
3909.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
3815.7
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3759.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
3752.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3734.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
3722.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
3720.0
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3649.0
DO50803
62 years, female, NA, stage:1, alive, 540 days
3623.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
3620.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
3615.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
3611.5
DO45161
74 years, male, NA, stage:2, dead, 540 days
3600.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
3505.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
3487.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
3382.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3349.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
3306.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
3305.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
3294.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
3286.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3242.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
3190.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3176.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
3169.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
3154.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
3143.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3123.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
3113.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
3067.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
3048.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
3032.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
3031.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
2995.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
2971.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
2961.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2955.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
2922.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
2914.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
2841.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
2838.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2801.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
2755.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
2737.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2713.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
2706.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
2695.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
2681.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
2655.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
2631.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2584.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
2545.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2533.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
2524.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
2514.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
2511.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
2482.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
2466.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
2430.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
2422.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
2404.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
2395.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
2372.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2363.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2357.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2350.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
2333.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2322.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
2316.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
2281.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
2269.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
2267.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2245.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
2207.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
2183.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2172.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
2167.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
2160.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2146.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
2145.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2137.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
2130.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
2130.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2130.4
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2123.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2115.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
2090.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2082.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
2081.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
2077.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
2046.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
2045.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
2045.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2040.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
2023.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2018.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
2007.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1996.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
1995.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
1987.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1975.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1959.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
1958.3
DO50789
73 years, female, NA, stage:2, alive, 570 days
1951.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
1923.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
1922.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1897.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1892.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1838.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
1833.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
1803.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
1789.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1788.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1782.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
1759.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
1735.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
1727.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
1724.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
1698.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
1684.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1665.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1662.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1646.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
1623.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1618.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1611.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1608.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
1598.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1576.2
DO23536
56 years, male, NA, stage:2, alive, 930 days
1528.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
1522.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1515.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1513.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1507.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
1498.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1493.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
1491.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1489.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
1471.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1455.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1454.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
1451.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
1428.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
1427.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1416.3
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1407.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
1381.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1377.5
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1374.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1357.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
1330.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
1324.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1287.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
1281.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
1264.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1257.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1234.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1221.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1207.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1199.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
1175.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
1174.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
1169.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
1155.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
1148.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1147.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1120.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
1114.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1088.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1028.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1021.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1020.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
1003.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1001.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
983.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
968.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
948.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
946.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
936.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
928.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
927.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
895.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
878.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
862.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
862.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
857.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
831.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
782.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
767.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
703.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
675.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
625.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
566.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
486.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
474.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
436.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1046
Normal
1.8
954
Normal
1.6
914
Normal
1.5
912
Normal
1.5
926
Normal
1.4
314
Normal
1.4
364
Normal
1.3
482
Normal
1.2
1014
Normal
1.1
224
Normal
1.1
978
Normal
1.1
938
Normal
1.1
858
Normal
1.1
392
Normal
1.1
284
Normal
1.1
958
Normal
1.1
524
Normal
1.1
162
Normal
1.1
478
Normal
1.1
1045
Tumor
1.1
698
Normal
1.0
388
Normal
1.0
824
Normal
1.0
354
Normal
1.0
964
Normal
1.0
944
Normal
1.0
514
Normal
1.0
723
Tumor
0.9
863
Tumor
0.9
142
Normal
0.9
384
Normal
0.9
616
Normal
0.9
1026
Normal
0.9
968
Normal
0.9
128
Normal
0.8
415
Tumor
0.8
913
Tumor
0.8
148
Normal
0.8
466
Normal
0.8
1032
Normal
0.8
866
Normal
0.8
696
Normal
0.8
882
Normal
0.8
862
Normal
0.8
428
Normal
0.8
498
Normal
0.8
328
Normal
0.7
868
Normal
0.7
756
Normal
0.7
786
Normal
0.7
332
Normal
0.7
716
Normal
0.7
666
Normal
0.7
818
Normal
0.7
1042
Normal
0.7
534
Normal
0.7
394
Normal
0.7
918
Normal
0.7
1044
Normal
0.7
922
Normal
0.7
1025
Tumor
0.7
1043
Tumor
0.7
432
Normal
0.7
464
Normal
0.6
481
Tumor
0.6
864
Normal
0.6
376
Normal
0.6
924
Normal
0.6
456
Normal
0.6
444
Normal
0.6
1022
Normal
0.5
356
Normal
0.5
424
Normal
0.5
298
Normal
0.5
352
Normal
0.5
884
Normal
0.5
526
Normal
0.5
484
Normal
0.5
311
Tumor
0.5
572
Normal
0.5
722
Normal
0.5
628
Normal
0.5
976
Normal
0.5
664
Normal
0.4
916
Normal
0.4
1016
Normal
0.4
636
Normal
0.4
396
Normal
0.4
446
Normal
0.4
312
Normal
0.4
196
Normal
0.4
448
Normal
0.3
672
Normal
0.3
416
Normal
0.3
516
Normal
0.3
327
Tumor
0.3
172
Normal
0.3
814
Normal
0.3
228
Normal
0.3
436
Normal
0.3
146
Normal
0.3
1031
Tumor
0.3
222
Normal
0.2
358
Normal
0.2
528
Normal
0.2
278
Normal
0.2
911
Tumor
0.2
286
Normal
0.2
414
Normal
0.2
472
Normal
0.2
943
Tumor
0.2
232
Normal
0.2
937
Tumor
0.2
917
Tumor
0.2
714
Normal
0.2
984
Normal
0.2
227
Tumor
0.2
697
Tumor
0.2
111
Normal
0.2
421
Tumor
0.2
558
Normal
0.1
362
Normal
0.1
426
Normal
0.1
823
Tumor
0.1
488
Normal
0.1
615
Tumor
0.1
192
Normal
0.1
742
Normal
0.1
817
Tumor
0.1
915
Tumor
0.0
468
Normal
0.0
727
Tumor
0.0
883
Tumor
0.0
852
Normal
0.0
188
Normal
0.0
627
Tumor
0.0
462
Normal
0.0
262
Normal
0.0
536
Normal
0.0
686
Normal
0.0
212
Normal
-0.1
363
Tumor
-0.1
186
Normal
-0.1
857
Tumor
-0.1
258
Normal
-0.1
695
Tumor
-0.1
422
Normal
-0.1
525
Tumor
-0.1
877
Tumor
-0.1
395
Tumor
-0.1
878
Normal
-0.1
778
Normal
-0.1
713
Tumor
-0.1
126
Normal
-0.1
617
Tumor
-0.1
921
Tumor
-0.1
132
Normal
-0.2
956
Normal
-0.2
816
Normal
-0.2
218
Normal
-0.2
518
Normal
-0.2
494
Normal
-0.2
777
Tumor
-0.2
268
Normal
-0.2
366
Normal
-0.2
391
Tumor
-0.2
648
Normal
-0.2
195
Tumor
-0.2
815
Tumor
-0.2
618
Normal
-0.3
515
Tumor
-0.3
663
Tumor
-0.3
963
Tumor
-0.3
467
Tumor
-0.3
1041
Tumor
-0.3
813
Tumor
-0.3
474
Normal
-0.3
386
Normal
-0.3
447
Tumor
-0.3
881
Tumor
-0.3
412
Normal
-0.4
423
Tumor
-0.4
546
Normal
-0.4
217
Tumor
-0.4
214
Normal
-0.4
221
Tumor
-0.4
1028
Normal
-0.4
387
Tumor
-0.4
568
Normal
-0.4
361
Tumor
-0.5
715
Tumor
-0.5
785
Tumor
-0.5
564
Normal
-0.5
1013
Tumor
-0.5
982
Normal
-0.5
975
Tumor
-0.6
487
Tumor
-0.6
545
Tumor
-0.6
513
Tumor
-0.6
136
Normal
-0.6
728
Normal
-0.6
283
Tumor
-0.6
353
Tumor
-0.6
571
Tumor
-0.6
145
Tumor
-0.6
873
Tumor
-0.7
355
Tumor
-0.7
721
Tumor
-0.7
1015
Tumor
-0.7
187
Tumor
-0.7
383
Tumor
-0.7
923
Tumor
-0.7
161
Tumor
-0.7
491
Tumor
-0.7
867
Tumor
-0.7
365
Tumor
-0.7
517
Tumor
-0.7
272
Normal
-0.7
492
Normal
-0.8
953
Tumor
-0.8
368
Normal
-0.8
965
Tumor
-0.8
977
Tumor
-0.8
277
Tumor
-0.8
375
Tumor
-0.8
471
Tumor
-0.8
138
Normal
-0.8
955
Tumor
-0.8
473
Tumor
-0.8
493
Tumor
-0.9
393
Tumor
-0.9
563
Tumor
-0.9
191
Tumor
-0.9
451
Tumor
-0.9
125
Tumor
-0.9
865
Tumor
-0.9
477
Tumor
-0.9
738
Normal
-0.9
647
Tumor
-0.9
874
Normal
-0.9
967
Tumor
-0.9
755
Tumor
-0.9
851
Tumor
-1.0
966
Normal
-1.0
527
Tumor
-1.0
431
Tumor
-1.0
461
Tumor
-1.0
427
Tumor
-1.0
313
Tumor
-1.0
463
Tumor
-1.1
724
Normal
-1.1
952
Normal
-1.1
185
Tumor
-1.1
297
Tumor
-1.1
861
Tumor
-1.1
331
Tumor
-1.1
114
Normal
-1.1
131
Tumor
-1.2
127
Tumor
-1.2
671
Tumor
-1.2
483
Tumor
-1.2
737
Tumor
-1.2
925
Tumor
-1.2
535
Tumor
-1.2
1021
Tumor
-1.2
223
Tumor
-1.2
665
Tumor
-1.3
465
Tumor
-1.3
445
Tumor
-1.3
261
Tumor
-1.3
741
Tumor
-1.3
211
Tumor
-1.3
574
Normal
-1.3
137
Tumor
-1.4
141
Tumor
-1.4
147
Tumor
-1.4
523
Tumor
-1.4
983
Tumor
-1.4
662
Normal
-1.4
957
Tumor
-1.4
413
Tumor
-1.4
213
Tumor
-1.4
411
Tumor
-1.4
455
Tumor
-1.5
642
Normal
-1.5
385
Tumor
-1.5
641
Tumor
-1.5
267
Tumor
-1.5
435
Tumor
-1.6
1027
Tumor
-1.6
443
Tumor
-1.6
497
Tumor
-1.6
112
Tumor
-1.6
113
Tumor
-1.6
425
Tumor
-1.6
271
Tumor
-1.7
357
Tumor
-1.7
573
Tumor
-1.7
257
Tumor
-1.7
557
Tumor
-1.7
567
Tumor
-1.7
685
Tumor
-1.8
533
Tumor
-1.9
981
Tumor
-1.9
452
Normal
-1.9
135
Tumor
-1.9
124
Normal
-1.9
744
Normal
-1.9
433
Tumor
-1.9
171
Tumor
-1.9
285
Tumor
-2.0
635
Tumor
-2.1
743
Tumor
-2.1
342
Normal
-2.1
951
Tumor
-2.1
343
Tumor
-2.2
661
Tumor
-2.2
367
Tumor
-2.2
745
Tumor
-2.2
746
Normal
-2.3
344
Normal
-2.3
351
Tumor
-2.3
434
Normal
-2.3
537
Tumor
-2.4
538
Normal
-2.5
341
Tumor
-2.6
231
Tumor
-2.6
554
Normal
-2.8
123
Tumor
-2.8
553
Tumor
-3.0
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.