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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 pTPM
4561.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
22319.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
16908.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
16603.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
16298.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
15344.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
14524.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
12160.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
12116.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
12116.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
11564.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
10945.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
10717.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
9948.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
9791.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
9781.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
9774.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
9694.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
9543.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
9538.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
9179.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
8826.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
8801.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
8797.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
8702.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
8695.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
8624.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
8538.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
8470.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
8440.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
8219.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
8140.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
8118.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
8009.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
7953.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
7905.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
7798.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
7783.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
7717.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
7660.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
7596.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
7592.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7579.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
7545.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
7499.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
7470.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
7396.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
7379.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
7273.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
7222.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
7072.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
7060.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7045.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
7006.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
7000.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6964.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
6906.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6879.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
6847.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
6819.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
6802.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
6753.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
6678.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
6528.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
6522.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
6432.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
6423.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
6365.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
6306.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
6174.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
6119.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
6094.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
6074.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6005.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6004.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5977.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5963.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
5933.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5906.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
5895.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
5883.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5883.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
5835.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5821.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
5807.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
5798.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
5717.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
5716.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
5715.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5714.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5694.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
5684.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
5684.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5682.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
5636.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5574.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
5523.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
5507.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
5493.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
5290.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
5287.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
5223.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
5198.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
5147.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
5119.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
5095.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5094.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5078.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
5025.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
4989.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4972.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4971.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
4969.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4969.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4957.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
4946.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
4906.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4896.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4866.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4833.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4810.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
4801.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4779.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4753.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4750.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4743.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4695.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4668.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4622.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4600.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4564.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4560.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
4546.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4517.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
4507.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4475.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4432.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
4427.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
4420.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4405.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4403.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
4380.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4368.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4365.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
4360.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
4351.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4348.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4341.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4310.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
4308.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
4301.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4300.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
4263.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4258.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4244.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4241.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4226.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
4206.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4174.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4171.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4166.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4156.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4137.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
4130.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4102.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
4101.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
4086.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4078.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
4076.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
4067.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4056.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4036.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
4024.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4016.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4014.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3998.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3991.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3966.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
3927.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3893.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3892.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3841.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3825.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3825.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3823.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3819.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3810.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3782.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3754.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3740.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3736.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
3714.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3713.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3713.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
3707.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3693.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3693.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3692.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
3660.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3658.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3652.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3649.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3649.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3641.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3612.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3603.2
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3590.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3581.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3558.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3546.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
3533.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3532.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
3520.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3515.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3513.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3492.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3451.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3444.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3434.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
3422.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3395.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
3380.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3374.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3340.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
3339.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3331.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3320.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
3312.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3312.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3296.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3294.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3269.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3262.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3257.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3242.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3214.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3203.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
3189.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3168.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3161.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3126.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3106.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3091.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3068.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3055.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
3054.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3051.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
3038.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3026.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3025.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3010.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3005.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2982.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2981.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
2981.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2968.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2963.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2856.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2853.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2836.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2826.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2825.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2825.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2810.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2803.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2779.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2768.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2765.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2765.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2762.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2761.2
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
2757.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2753.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2749.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2746.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2678.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2673.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2669.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2658.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2646.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2628.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2614.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2593.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2589.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2580.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2557.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2552.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2543.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2532.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2529.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2519.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2499.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2492.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2479.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2472.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2471.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2463.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2453.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2447.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2445.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
2443.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2443.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2441.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2435.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2425.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2418.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2414.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2408.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2383.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2365.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2358.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2356.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2349.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2344.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2329.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2318.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2313.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2303.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2287.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2261.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2261.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2213.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2207.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2202.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2192.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2186.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
2135.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
2115.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2105.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
2079.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2073.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2068.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2068.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2066.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2058.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2053.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2034.5
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2025.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1974.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1901.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1895.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1885.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1867.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1856.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1842.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1786.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1719.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1712.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1708.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1635.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1617.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1613.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1592.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1494.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1451.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1447.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1431.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1406.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1401.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1252.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1207.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1104.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 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 pTPM
4382.8
Number of samples
231
Samples
Sample
Description
pTPM
DO23523
52 years, male, NA, stage:3, alive, 1080 days
21456.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
18933.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
14044.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
13160.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
12496.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
11860.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
11290.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
9988.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
9805.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
9663.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
9628.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
9585.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
9355.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
9096.8
DO50850
74 years, male, NA, stage:3, alive, 720 days
9013.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
8873.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
8863.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
8834.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
8788.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
8251.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
8165.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
7896.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
7869.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
7786.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
7650.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
7429.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
7401.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
7309.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
7297.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
7134.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
7057.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
6835.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
6775.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
6710.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
6652.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
6645.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
6491.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6225.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
6191.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
6172.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
6170.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
6145.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
6128.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
6111.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
6064.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
6049.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
6020.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
5928.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
5868.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
5852.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
5810.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
5803.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
5765.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
5616.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
5607.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
5558.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
5447.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
5432.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
5386.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
5345.1
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5304.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
5293.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
5220.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
5213.0
DO50798
77 years, male, NA, stage:3, dead, 30 days
5092.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
5081.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
5041.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
5006.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
4970.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
4964.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
4959.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
4951.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
4866.3
DO45171
56 years, male, NA, stage:3, alive, 600 days
4857.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
4822.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
4728.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
4707.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
4639.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
4619.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
4611.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
4586.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
4565.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
4537.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
4507.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
4489.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
4476.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
4443.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
4386.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
4334.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4309.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
4308.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
4296.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
4282.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4269.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
4256.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
4256.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
4229.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
4144.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4140.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4139.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4122.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
4083.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
4077.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4039.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
4029.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
3988.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
3985.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
3974.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
3922.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
3904.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
3896.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
3811.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
3774.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3740.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
3725.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3706.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
3702.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
3675.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3672.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
3637.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
3633.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3600.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
3569.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
3511.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3504.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3499.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3456.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
3394.9
DO23516
69 years, male, NA, stage:3, dead, 20 days
3376.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3371.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
3353.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
3352.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
3352.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
3308.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
3296.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
3287.7
DO45163
76 years, male, NA, stage:2, alive, 960 days
3266.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
3266.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
3247.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
3191.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3159.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
3138.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
3113.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
3105.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
3092.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
3037.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
3002.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
2992.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
2938.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
2938.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
2932.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
2921.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
2909.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
2906.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
2890.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2888.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2877.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2850.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
2840.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2823.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
2798.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
2714.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2710.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
2695.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2682.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
2666.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
2646.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
2637.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2579.1
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2548.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
2547.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2537.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
2528.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2477.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2473.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2469.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
2460.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
2438.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
2430.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2423.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
2411.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
2362.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
2356.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
2354.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2334.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
2328.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
2311.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
2309.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
2304.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2284.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
2209.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2184.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
2148.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
2107.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2103.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
2021.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2012.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1995.7
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1988.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1981.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
1887.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1859.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
1855.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1845.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1841.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1805.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1742.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
1734.1
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1726.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1695.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
1687.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
1661.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1620.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1538.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1534.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
1528.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
1515.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1514.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1496.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
1447.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
1440.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
1399.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1286.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1225.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
1223.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1099.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
1017.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
929.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
895.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
747.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
685.3
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
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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.