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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.

VTN is validated prognostic, high expression is favorable 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.

: 3071.78
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 4796.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 14040.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 12295.1
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 11960.2
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 11450.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 11196.3
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 11142.5
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 10984.8
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 10972.6
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 10484.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 10359.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 10230.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 10179.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 10132.0
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 10045.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 9866.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 9852.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 9686.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 9510.1
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 9452.8
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 9451.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 9323.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 9256.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 9183.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 9046.6
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 8875.7
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 8861.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 8829.9
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 8811.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 8792.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 8782.0
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 8695.6
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 8685.0
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 8673.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 8635.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 8596.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 8560.7
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 8541.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 8520.2
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 8512.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 8441.9
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 8429.7
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 8419.5
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 8385.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 8304.5
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 8141.6
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 8112.0
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 8065.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 8011.2
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 7958.8
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 7867.7
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 7866.7
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 7639.8
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 7611.9
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 7609.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 7573.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 7502.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 7435.2
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 7411.6
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 7409.5
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 7394.0
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 7309.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 7304.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 7268.7
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 7219.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 7217.7
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 7209.5
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 7200.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 7184.4
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 7133.4
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 7089.4
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 7083.0
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 7063.2
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 7059.7
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 7015.6
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 6983.3
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 6975.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 6975.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 6891.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 6869.1
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 6833.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 6736.4
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 6724.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 6698.2
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 6695.3
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 6678.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 6659.1
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 6627.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 6614.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 6588.6
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 6585.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 6522.9
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 6514.5
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 6497.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 6463.1
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 6444.6
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 6443.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 6427.0
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 6394.7
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 6377.5
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 6296.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 6235.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 6171.7
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 6145.2
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 6105.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 6099.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 6053.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 6040.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 6039.4
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 6018.4
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 5994.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 5958.2
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 5945.3
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 5925.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 5866.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 5802.3
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 5743.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 5742.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 5727.5
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 5704.5
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 5702.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 5635.6
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 5634.1
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 5612.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 5554.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 5538.0
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 5464.8
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 5456.3
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 5451.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 5448.0
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 5436.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 5422.1
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 5419.0
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 5397.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 5396.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 5394.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 5386.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 5349.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 5320.6
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 5319.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 5294.8
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 5272.9
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 5255.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 5218.1
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 5204.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 5152.3
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 5130.8
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 5127.5
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 5121.4
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 5114.0
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 5081.9
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 5079.1
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 5043.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 5001.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 4965.0
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 4958.1
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 4950.5
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 4945.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 4934.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 4910.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 4908.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 4906.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 4891.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 4887.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 4872.1
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 4865.8
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 4815.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 4812.2
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 4791.3
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 4750.1
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 4737.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 4701.7
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 4690.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 4667.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 4621.8
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 4621.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 4608.6
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 4597.4
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 4596.5
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 4596.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 4595.7
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 4577.2
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 4520.8
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 4514.6
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 4511.4
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 4487.9
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 4465.1
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 4453.4
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 4426.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 4389.1
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 4375.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 4369.3
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 4361.2
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 4315.0
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 4295.7
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 4291.3
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 4246.3
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 4222.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 4214.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 4184.7
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 4180.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 4155.3
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 4092.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 4088.5
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 4087.8
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 4042.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 4032.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 4027.1
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 4022.2
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 4001.8
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 3991.9
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 3971.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 3971.1
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 3969.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 3947.0
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 3944.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 3926.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 3889.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 3877.2
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 3866.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 3864.0
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 3806.8
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 3788.7
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 3764.5
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 3759.8
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 3752.0
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 3735.4
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 3730.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 3724.8
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 3723.9
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 3713.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 3703.8
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 3686.1
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 3652.8
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 3649.2
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 3589.1
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 3571.4
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 3515.9
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 3488.3
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 3486.4
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 3479.8
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 3471.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 3416.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 3393.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 3377.2
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 3371.2
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 3353.5
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 3337.5
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 3249.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 3247.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 3228.9
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 3227.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 3210.9
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 3208.2
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 3175.2
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 3165.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 3153.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 3143.4
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 3134.6
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 3095.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 3071.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 3046.7
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 3012.0
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2998.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 2997.3
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 2951.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 2941.0
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 2936.6
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 2935.4
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 2904.7
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 2894.9
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2882.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 2859.1
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 2825.9
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 2816.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 2784.8
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 2784.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 2769.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 2763.7
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 2762.3
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 2730.1
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 2729.1
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 2704.4
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 2692.9
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 2690.8
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 2671.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 2657.7
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 2654.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 2629.9
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 2629.7
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 2614.5
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 2595.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 2562.0
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 2531.4
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 2511.2
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 2510.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 2444.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 2365.1
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 2340.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 2330.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 2310.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2283.1
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 2240.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 2234.8
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 2216.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 2215.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 2103.4
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 2063.5
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 2054.8
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 2038.2
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 2037.7
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 2009.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2008.9
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1978.6
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1893.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1892.8
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1886.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1759.1
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1709.2
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1701.1
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1692.8
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1688.4
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1663.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1637.8
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1637.1
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 1601.1
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 1544.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1445.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 1416.5
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1398.2
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1380.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1369.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1367.2
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1221.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1219.0
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1137.4
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1069.7
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1067.8
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 1016.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 967.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 909.0
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 898.0
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 868.8
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 851.1
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 844.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 842.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 826.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 803.3
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 741.5
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 720.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 695.5
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 682.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 628.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 594.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 527.5
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 438.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 412.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 325.9
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 271.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 230.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 11.7
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 3.4
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2.7
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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.

VTN is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 3598.75
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 5054.0
Number of samples 231
Samples
Sample Description pTPM
DO45205 67 years, female, NA, stage:2, dead, 90 days 14453.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 13707.1
DO45121 61 years, male, NA, stage:3, alive, 1530 days 13688.9
DO48717 54 years, male, NA, stage:4, dead, 180 days 11915.9
DO50832 73 years, male, NA, stage:3, alive, 90 days 11728.0
DO23550 69 years, male, NA, stage:1, alive, 990 days 11333.7
DO45183 72 years, female, NA, stage:2, dead, 570 days 11112.2
DO50820 77 years, female, NA, stage:3, alive, 510 days 10906.2
DO45159 65 years, male, NA, stage:3, alive, 1470 days 10811.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 10795.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 10639.0
DO45185 89 years, male, NA, stage:2, alive, 600 days 10241.6
DO45191 61 years, female, NA, stage:2, alive, 1200 days 9760.8
DO45111 74 years, male, NA, stage:2, alive, 1590 days 9574.0
DO45263 67 years, male, NA, stage:3, dead, 270 days 9553.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 9445.9
DO45189 85 years, female, NA, stage:2, alive, 1200 days 9318.2
DO48732 73 years, male, NA, stage:3, alive, 630 days 9302.4
DO23552 80 years, female, NA, stage:1, alive, 810 days 9149.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 9147.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 9018.1
DO45207 68 years, male, NA, stage:1, alive, 1050 days 8998.2
DO23526 66 years, male, NA, stage:3, alive, 1050 days 8916.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 8893.3
DO48715 58 years, female, NA, stage:2, dead, 690 days 8782.3
DO50799 66 years, female, NA, stage:2, alive, 540 days 8513.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 8497.3
DO45213 58 years, male, NA, stage:1, alive, 1200 days 8279.2
DO45094 76 years, male, NA, stage:3, alive, 1650 days 8021.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 7948.5
DO48761 55 years, male, NA, stage:2, alive, 870 days 7902.7
DO50844 75 years, male, NA, stage:4, alive, 300 days 7864.6
DO48701 78 years, male, NA, stage:2, alive, 780 days 7823.3
DO50819 72 years, female, NA, stage:2, alive, 510 days 7816.6
DO23537 79 years, male, NA, stage:2, dead, 900 days 7792.8
DO23528 45 years, female, NA, stage:2, alive, 1020 days 7771.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 7767.3
DO45099 46 years, male, NA, stage:3, alive, 1590 days 7758.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 7681.1
DO48712 50 years, male, NA, stage:2, alive, 810 days 7645.7
DO45273 62 years, male, NA, stage:2, alive, 480 days 7636.8
DO45179 78 years, female, NA, stage:2, alive, 600 days 7573.0
DO45193 68 years, female, NA, stage:4, dead, 120 days 7524.8
DO23525 71 years, male, NA, stage:4, alive, 1050 days 7431.0
DO45187 32 years, female, NA, stage:1, alive, 1260 days 7334.9
DO23518 67 years, male, NA, stage:2, alive, 1320 days 7318.0
DO23538 67 years, male, NA, stage:2, alive, 450 days 7181.5
DO23515 71 years, male, NA, stage:2, alive, 1230 days 7100.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 7077.5
DO50845 72 years, male, NA, stage:3, alive, 210 days 7018.1
DO23544 67 years, male, NA, stage:2, alive, 960 days 6970.1
DO50825 70 years, male, NA, stage:2, alive, 390 days 6964.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 6962.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 6942.1
DO48721 58 years, female, NA, stage:1, alive, 900 days 6935.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 6817.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 6708.8
DO23536 56 years, male, NA, stage:2, alive, 930 days 6708.1
DO50789 73 years, female, NA, stage:2, alive, 570 days 6623.4
DO48697 64 years, female, NA, stage:2, dead, 810 days 6609.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 6606.6
DO45115 81 years, male, NA, stage:2, alive, 840 days 6522.8
DO50774 68 years, female, NA, stage:2, alive, 720 days 6498.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 6452.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 6436.7
DO227643 79 years, male, NA, stage:2, alive, 1260 days 6403.6
DO48704 68 years, female, NA, stage:3, alive, 750 days 6364.3
DO45247 31 years, female, NA, stage:2, alive, 210 days 6242.9
DO45231 84 years, male, NA, stage:2, alive, 930 days 6169.6
DO48674 80 years, male, NA, stage:2, alive, 1260 days 6140.1
DO48733 72 years, male, NA, stage:2, alive, 600 days 6137.3
DO45215 65 years, male, NA, stage:2, alive, 1170 days 6077.6
DO45101 63 years, male, NA, stage:2, alive, 1680 days 6066.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 5982.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 5930.7
DO45123 78 years, female, NA, stage:2, dead, 570 days 5900.0
DO48757 68 years, female, NA, stage:3, alive, 480 days 5831.1
DO45257 46 years, male, NA, stage:3, alive, 810 days 5830.2
DO45173 63 years, male, NA, stage:3, alive, 1170 days 5826.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 5789.2
DO45109 63 years, male, NA, stage:2, alive, 1590 days 5733.2
DO45143 69 years, male, NA, stage:3, alive, 1290 days 5674.0
DO45219 78 years, male, NA, stage:2, alive, 1080 days 5661.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 5631.0
DO45255 81 years, male, NA, stage:3, alive, 720 days 5620.8
DO45199 86 years, female, NA, stage:2, alive, 1350 days 5585.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 5575.1
DO50813 56 years, male, NA, stage:2, alive, 420 days 5574.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 5574.6
DO48737 52 years, male, NA, stage:1, alive, 720 days 5562.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 5547.7
DO45239 42 years, male, NA, stage:2, alive, 870 days 5529.3
DO45096 69 years, male, NA, stage:2, dead, 1290 days 5500.3
DO48681 57 years, male, NA, stage:2, alive, 900 days 5434.8
DO50805 72 years, male, NA, stage:2, alive, 690 days 5423.6
DO48727 81 years, female, NA, stage:2, dead, 390 days 5361.0
DO23543 63 years, male, NA, stage:2, alive, 1020 days 5322.6
DO50783 62 years, male, NA, stage:3, alive, 480 days 5292.5
DO23532 71 years, female, NA, stage:1, alive, 960 days 5284.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 5284.3
DO48719 80 years, male, NA, stage:2, alive, 690 days 5206.2
DO45225 69 years, male, NA, stage:1, alive, 1050 days 5192.8
DO45181 84 years, female, NA, stage:2, alive, 1200 days 5169.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 5169.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 5166.6
DO45107 63 years, female, NA, stage:2, alive, 1710 days 5150.4
DO45227 57 years, female, NA, stage:2, alive, 1020 days 5104.2
DO50800 74 years, male, NA, stage:2, alive, 510 days 5065.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 5063.6
DO45113 58 years, male, NA, stage:3, alive, 1560 days 5050.3
DO45201 49 years, male, NA, stage:1, alive, 900 days 5048.6
DO50850 74 years, male, NA, stage:3, alive, 720 days 5039.2
DO45095 66 years, male, NA, stage:2, alive, 1620 days 4998.3
DO48720 62 years, female, NA, stage:2, alive, 570 days 4909.7
DO23510 80 years, female, NA, stage:2, alive, 870 days 4884.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 4879.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 4871.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 4862.1
DO23517 62 years, male, NA, stage:2, alive, 1200 days 4836.3
DO48677 58 years, male, NA, stage:3, alive, 1140 days 4799.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 4766.2
DO23524 71 years, female, NA, stage:2, alive, 1050 days 4760.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 4754.8
DO50811 62 years, male, NA, stage:1, alive, 450 days 4725.8
DO50798 77 years, male, NA, stage:3, dead, 30 days 4720.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 4714.9
DO50793 76 years, male, NA, stage:4, alive, 540 days 4709.3
DO45259 65 years, male, NA, stage:3, alive, 330 days 4706.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 4696.6
DO48728 74 years, female, NA, stage:2, alive, 150 days 4661.0
DO23551 73 years, male, NA, stage:3, dead, 150 days 4625.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 4568.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 4564.4
DO23531 78 years, female, NA, stage:3, alive, 900 days 4564.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 4536.7
DO45139 63 years, male, NA, stage:3, alive, 1320 days 4529.2
DO23546 63 years, male, NA, stage:2, alive, 1050 days 4528.7
DO23545 67 years, male, NA, stage:2, dead, 570 days 4486.8
DO45235 68 years, female, NA, stage:1, alive, 900 days 4483.3
DO45155 69 years, male, NA, stage:2, alive, 2160 days 4464.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 4439.9
DO45091 56 years, male, NA, stage:2, dead, 1320 days 4410.7
DO50803 62 years, female, NA, stage:1, alive, 540 days 4365.9
DO23511 83 years, female, NA, stage:3, dead, 180 days 4356.1
DO45261 74 years, male, NA, stage:3, alive, 990 days 4294.8
DO45093 71 years, male, NA, stage:2, dead, 720 days 4138.3
DO45153 77 years, female, NA, stage:2, alive, 1380 days 4120.3
DO45253 50 years, male, NA, stage:2, alive, 870 days 4108.6
DO48693 71 years, male, NA, stage:2, alive, 900 days 4069.1
DO45237 58 years, male, NA, stage:2, alive, 900 days 4064.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 4046.1
DO45125 58 years, male, NA, stage:3, alive, 1680 days 3992.1
DO45165 75 years, male, NA, stage:2, alive, 690 days 3976.3
DO50802 49 years, male, NA, stage:2, alive, 930 days 3960.8
DO23548 78 years, female, NA, stage:1, alive, 840 days 3944.2
DO48716 71 years, male, NA, stage:2, alive, 720 days 3878.5
DO45241 49 years, male, NA, stage:1, alive, 1080 days 3827.4
DO48759 73 years, male, NA, stage:3, alive, 720 days 3813.7
DO45203 71 years, female, NA, stage:2, alive, 1170 days 3794.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 3793.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 3761.8
DO50814 83 years, male, NA, stage:3, alive, 420 days 3744.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 3723.6
DO50839 47 years, female, NA, stage:3, alive, 330 days 3654.1
DO45129 61 years, male, NA, stage:3, alive, 1470 days 3635.3
DO23539 77 years, male, NA, stage:1, alive, 1110 days 3605.4
DO45119 74 years, male, NA, stage:3, dead, 510 days 3592.1
DO45133 64 years, male, NA, stage:3, dead, 660 days 3520.1
DO45103 47 years, male, NA, stage:3, alive, 450 days 3317.8
DO45175 74 years, male, NA, stage:2, alive, 1140 days 3285.1
DO45097 69 years, male, NA, stage:3, alive, 1620 days 3259.6
DO50791 79 years, female, NA, stage:1, dead, 480 days 3231.0
DO23541 65 years, male, NA, stage:2, alive, 930 days 3207.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 3205.9
DO45269 59 years, male, NA, stage:3, alive, 750 days 3089.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 3085.0
DO48706 72 years, male, NA, stage:2, alive, 870 days 3049.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 3049.1
DO48751 68 years, male, NA, stage:2, dead, 480 days 3028.3
DO48679 72 years, male, NA, stage:2, alive, 1200 days 2983.5
DO48730 73 years, female, NA, stage:2, alive, 630 days 2963.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 2932.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 2802.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 2795.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 2747.7
DO45281 83 years, male, NA, stage:4, alive, 750 days 2659.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 2590.3
DO45217 69 years, female, NA, stage:3, dead, 270 days 2557.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 2336.4
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2329.7
DO45275 65 years, male, NA, stage:3, dead, 10 days 2248.9
DO50785 37 years, male, NA, stage:4, dead, 90 days 2189.7
DO45131 53 years, male, NA, stage:4, dead, 360 days 2144.6
DO45163 76 years, male, NA, stage:2, alive, 960 days 2121.4
DO48672 81 years, male, NA, stage:2, alive, 450 days 2119.4
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1951.8
DO50815 62 years, male, NA, stage:3, alive, 150 days 1913.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1850.1
DO45221 75 years, female, NA, stage:4, dead, 390 days 1829.9
DO45161 74 years, male, NA, stage:2, dead, 540 days 1816.2
DO23514 64 years, male, NA, stage:2, alive, 1290 days 1756.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 1732.4
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1688.3
DO23508 79 years, female, NA, stage:2, alive, 390 days 1627.3
DO50778 60 years, male, NA, stage:4, alive, 630 days 1512.7
DO23542 66 years, male, NA, stage:3, alive, 960 days 1435.6
DO45251 57 years, female, NA, stage:2, alive, 900 days 1414.7
DO50822 66 years, male, NA, stage:2, alive, 510 days 1385.6
DO48723 73 years, male, NA, stage:1, alive, 600 days 1183.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 1176.8
DO45303 62 years, female, NA, stage:3, alive, 990 days 1119.0
DO23549 74 years, male, NA, stage:3, alive, 990 days 1104.4
DO45127 73 years, male, NA, stage:3, dead, 420 days 1032.0
DO23547 74 years, male, NA, stage:1, alive, 1020 days 925.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 813.0
DO45305 66 years, male, NA, stage:4, alive, 300 days 676.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 609.3
DO45267 73 years, male, NA, stage:3, dead, 570 days 608.8
DO45277 64 years, male, NA, stage:3, alive, 600 days 606.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 488.4
DO50829 78 years, male, NA, stage:3, alive, 570 days 297.4
DO45301 56 years, male, NA, stage:2, dead, 1440 days 281.6
DO45297 61 years, female, NA, stage:4, dead, 1260 days 174.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 135.4
DO48747 62 years, male, NA, stage:3, alive, 540 days 106.8
DO45285 59 years, male, NA, stage:3, alive, 480 days 87.1
DO45307 54 years, female, NA, stage:4, dead, 240 days 21.3
DO45245 75 years, female, NA, stage:2, dead, 240 days 15.5
DO45299 70 years, female, NA, stage:1, alive, 1440 days 12.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 7.3
DO45211 76 years, male, NA, stage:3, alive, 240 days 1.4
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
877 Tumor 2.0
425 Tumor 1.6
343 Tumor 1.3
463 Tumor 1.2
671 Tumor 1.2
192 Normal 1.1
125 Tumor 1.1
635 Tumor 1.0
815 Tumor 1.0
863 Tumor 0.9
355 Tumor 0.8
527 Tumor 0.8
277 Tumor 0.8
131 Tumor 0.8
743 Tumor 0.6
813 Tumor 0.6
217 Tumor 0.6
647 Tumor 0.6
697 Tumor 0.6
445 Tumor 0.6
975 Tumor 0.5
375 Tumor 0.5
224 Normal 0.5
455 Tumor 0.5
185 Tumor 0.4
471 Tumor 0.4
715 Tumor 0.4
271 Tumor 0.4
742 Normal 0.4
1044 Normal 0.4
223 Tumor 0.4
883 Tumor 0.4
862 Normal 0.4
413 Tumor 0.4
186 Normal 0.4
745 Tumor 0.3
823 Tumor 0.3
227 Tumor 0.3
983 Tumor 0.3
777 Tumor 0.3
124 Normal 0.3
342 Normal 0.3
394 Normal 0.3
744 Normal 0.3
817 Tumor 0.3
921 Tumor 0.3
881 Tumor 0.3
958 Normal 0.3
523 Tumor 0.2
393 Tumor 0.2
218 Normal 0.2
443 Tumor 0.2
392 Normal 0.2
814 Normal 0.2
545 Tumor 0.2
354 Normal 0.2
137 Tumor 0.2
357 Tumor 0.2
391 Tumor 0.2
976 Normal 0.2
421 Tumor 0.2
517 Tumor 0.2
452 Normal 0.2
741 Tumor 0.1
297 Tumor 0.1
465 Tumor 0.1
366 Normal 0.1
536 Normal 0.1
516 Normal 0.1
135 Tumor 0.1
433 Tumor 0.1
221 Tumor 0.1
146 Normal 0.1
363 Tumor 0.1
444 Normal 0.1
268 Normal 0.1
474 Normal 0.1
716 Normal 0.1
435 Tumor 0.1
431 Tumor 0.1
685 Tumor 0.1
922 Normal 0.1
384 Normal 0.1
162 Normal 0.1
461 Tumor 0.1
298 Normal 0.1
981 Tumor 0.1
713 Tumor 0.0
423 Tumor 0.0
533 Tumor 0.0
386 Normal 0.0
365 Tumor 0.0
462 Normal 0.0
388 Normal 0.0
368 Normal 0.0
663 Tumor 0.0
187 Tumor 0.0
214 Normal 0.0
977 Tumor 0.0
284 Normal 0.0
422 Normal 0.0
938 Normal 0.0
574 Normal 0.0
466 Normal 0.0
126 Normal 0.0
352 Normal 0.0
672 Normal 0.0
344 Normal 0.0
111 Normal 0.0
636 Normal 0.0
524 Normal 0.0
138 Normal -0.1
746 Normal -0.1
426 Normal -0.1
494 Normal -0.1
385 Tumor -0.1
383 Tumor -0.1
738 Normal -0.1
142 Normal -0.1
414 Normal -0.1
395 Tumor -0.1
497 Tumor -0.1
641 Tumor -0.1
1026 Normal -0.1
328 Normal -0.1
332 Normal -0.1
171 Tumor -0.1
161 Tumor -0.1
428 Normal -0.1
222 Normal -0.1
914 Normal -0.1
434 Normal -0.1
331 Tumor -0.1
816 Normal -0.1
213 Tumor -0.1
852 Normal -0.1
196 Normal -0.1
963 Tumor -0.1
818 Normal -0.1
362 Normal -0.1
228 Normal -0.1
424 Normal -0.1
695 Tumor -0.1
1045 Tumor -0.1
968 Normal -0.1
1022 Normal -0.1
191 Tumor -0.1
447 Tumor -0.1
172 Normal -0.1
132 Normal -0.1
515 Tumor -0.2
698 Normal -0.2
918 Normal -0.2
778 Normal -0.2
351 Tumor -0.2
141 Tumor -0.2
361 Tumor -0.2
195 Tumor -0.2
864 Normal -0.2
1021 Tumor -0.2
358 Normal -0.2
262 Normal -0.2
472 Normal -0.2
618 Normal -0.2
261 Tumor -0.2
492 Normal -0.2
148 Normal -0.2
662 Normal -0.2
482 Normal -0.2
1028 Normal -0.2
468 Normal -0.2
723 Tumor -0.2
535 Tumor -0.2
498 Normal -0.2
188 Normal -0.2
285 Tumor -0.2
538 Normal -0.2
313 Tumor -0.2
664 Normal -0.2
283 Tumor -0.2
448 Normal -0.2
851 Tumor -0.2
558 Normal -0.2
396 Normal -0.2
882 Normal -0.2
484 Normal -0.2
147 Tumor -0.2
113 Tumor -0.2
785 Tumor -0.2
868 Normal -0.2
884 Normal -0.2
1015 Tumor -0.2
573 Tumor -0.2
727 Tumor -0.2
456 Normal -0.2
272 Normal -0.3
286 Normal -0.3
136 Normal -0.3
518 Normal -0.3
232 Normal -0.3
114 Normal -0.3
432 Normal -0.3
642 Normal -0.3
464 Normal -0.3
212 Normal -0.3
446 Normal -0.3
312 Normal -0.3
648 Normal -0.3
436 Normal -0.3
376 Normal -0.3
982 Normal -0.3
665 Tumor -0.3
353 Tumor -0.3
483 Tumor -0.3
314 Normal -0.3
477 Tumor -0.3
951 Tumor -0.3
917 Tumor -0.3
954 Normal -0.3
564 Normal -0.3
367 Tumor -0.3
488 Normal -0.3
411 Tumor -0.3
128 Normal -0.3
966 Normal -0.3
387 Tumor -0.3
478 Normal -0.3
145 Tumor -0.3
956 Normal -0.3
964 Normal -0.3
572 Normal -0.3
666 Normal -0.3
526 Normal -0.3
1046 Normal -0.3
278 Normal -0.3
412 Normal -0.3
615 Tumor -0.3
858 Normal -0.4
364 Normal -0.4
258 Normal -0.4
616 Normal -0.4
528 Normal -0.4
728 Normal -0.4
937 Tumor -0.4
926 Normal -0.4
341 Tumor -0.4
1016 Normal -0.4
866 Normal -0.4
553 Tumor -0.4
1025 Tumor -0.4
112 Tumor -0.4
878 Normal -0.4
943 Tumor -0.4
857 Tumor -0.4
874 Normal -0.4
628 Normal -0.4
571 Tumor -0.4
311 Tumor -0.4
356 Normal -0.4
554 Normal -0.4
952 Normal -0.4
1042 Normal -0.4
967 Tumor -0.4
923 Tumor -0.4
978 Normal -0.4
568 Normal -0.4
534 Normal -0.4
686 Normal -0.5
916 Normal -0.5
627 Tumor -0.5
912 Normal -0.5
514 Normal -0.5
873 Tumor -0.5
567 Tumor -0.5
786 Normal -0.5
563 Tumor -0.5
546 Normal -0.5
416 Normal -0.5
557 Tumor -0.5
696 Normal -0.5
737 Tumor -0.5
415 Tumor -0.5
491 Tumor -0.5
722 Normal -0.5
1043 Tumor -0.5
1032 Normal -0.5
617 Tumor -0.5
127 Tumor -0.5
924 Normal -0.5
487 Tumor -0.5
756 Normal -0.5
944 Normal -0.6
1013 Tumor -0.6
865 Tumor -0.6
481 Tumor -0.6
824 Normal -0.6
984 Normal -0.6
714 Normal -0.6
467 Tumor -0.6
1014 Normal -0.6
913 Tumor -0.6
327 Tumor -0.6
427 Tumor -0.6
513 Tumor -0.6
955 Tumor -0.6
123 Tumor -0.7
267 Tumor -0.7
661 Tumor -0.7
493 Tumor -0.7
861 Tumor -0.7
1027 Tumor -0.7
525 Tumor -0.7
867 Tumor -0.7
257 Tumor -0.7
953 Tumor -0.7
1031 Tumor -0.8
721 Tumor -0.8
755 Tumor -0.8
231 Tumor -0.8
1041 Tumor -0.8
965 Tumor -0.8
915 Tumor -0.8
911 Tumor -0.8
473 Tumor -0.9
724 Normal -0.9
451 Tumor -0.9
925 Tumor -1.0
211 Tumor -1.1
957 Tumor -1.1
537 Tumor -1.3
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 HPA060933

Antibody HPA068011

Antibody CAB016695

Antibody CAB016765
 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
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

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