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FTH1
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  • FTH1
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

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.

: 5659.71
Median expressioni

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.

: N/A
Median follow up timei

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 1079.5
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

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.

: 3986.76
Median expressioni

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.

: N/A
Median follow up timei

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
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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.


Antibody CAB008623
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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The Human Protein Atlas project is funded
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