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  • SUMMARY

  • TISSUE

  • BRAIN

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  • STRUCT & INT

  • COX8A
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
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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.

COX8A is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 564.11
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 518.0
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1430.1
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1425.1
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1325.5
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1248.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1242.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 1087.0
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1074.6
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1050.9
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1046.6
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 1017.5
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 987.0
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 966.9
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 962.0
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 949.1
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 940.6
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 940.0
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 930.9
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 914.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 892.3
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 892.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 882.3
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 881.9
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 880.6
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 845.1
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 817.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 815.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 801.4
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 801.2
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 796.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 789.3
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 788.9
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 788.5
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 781.6
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 769.4
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 767.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 762.4
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 759.2
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 757.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 756.3
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 751.4
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 748.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 746.3
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 744.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 740.3
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 736.7
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 728.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 728.6
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 722.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 710.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 707.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 706.9
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 703.8
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 702.9
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 702.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 702.1
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 701.5
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 695.5
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 694.9
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 694.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 694.2
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 686.7
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 684.8
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 682.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 681.4
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 680.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 676.7
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 674.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 669.7
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 665.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 662.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 660.8
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 659.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 659.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 652.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 651.1
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 650.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 649.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 647.4
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 644.4
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 640.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 639.4
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 636.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 636.7
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 635.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 633.9
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 626.2
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 623.3
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 622.1
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 617.4
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 616.5
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 615.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 614.2
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 614.2
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 612.2
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 611.7
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 610.9
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 610.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 607.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 603.2
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 600.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 600.2
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 600.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 598.6
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 598.0
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 597.5
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 597.0
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 596.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 596.5
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 596.2
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 595.9
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 595.6
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 590.5
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 586.3
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 585.7
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 585.0
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 572.3
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 570.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 567.1
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 564.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 563.8
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 559.4
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 559.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 558.5
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 551.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 551.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 551.6
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 551.4
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 549.7
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 547.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 545.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 544.9
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 535.7
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 535.3
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 535.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 531.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 531.5
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 530.6
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 527.8
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 527.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 527.2
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 526.3
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 525.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 525.2
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 522.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 520.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 519.0
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 518.4
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 518.3
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 517.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 516.2
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 515.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 513.1
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 511.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 507.8
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 504.8
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 504.3
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 503.7
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 503.5
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 501.6
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 501.6
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 500.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 499.1
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 498.5
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 498.1
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 497.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 496.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 495.4
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 495.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 495.1
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 494.9
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 490.6
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 488.7
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 488.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 487.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 486.1
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 485.7
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 485.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 484.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 483.6
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 481.2
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 479.7
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 477.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 476.5
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 475.8
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 474.4
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 471.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 471.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 471.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 468.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 466.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 465.0
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 464.5
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 463.8
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 463.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 463.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 461.5
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 461.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 461.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 461.1
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 460.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 458.5
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 455.7
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 454.4
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 453.9
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 453.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 452.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 451.5
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 449.5
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 448.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 446.6
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 446.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 443.3
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 443.1
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 442.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 441.0
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 440.2
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 439.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 439.5
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 439.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 437.8
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 437.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 428.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 427.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 426.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 424.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 422.7
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 421.7
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 420.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 420.1
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 419.8
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 418.8
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 418.4
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 418.2
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 417.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 415.7
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 415.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 414.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 413.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 412.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 410.1
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 410.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 408.0
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 406.1
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 405.7
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 405.2
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 403.8
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 403.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 403.6
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 403.1
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 402.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 401.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 400.3
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 400.0
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 397.0
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 397.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 395.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 392.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 391.6
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 391.6
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 391.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 391.0
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 390.8
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 390.2
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 390.1
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 389.5
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 388.4
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 383.3
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 383.3
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 383.3
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 382.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 381.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 381.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 380.8
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 380.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 380.5
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 379.9
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 377.3
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 376.3
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 373.9
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 373.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 373.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 372.2
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 372.1
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 369.0
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 367.3
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 366.5
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 364.2
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 363.2
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 363.0
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 362.2
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 361.8
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 361.4
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 358.9
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 358.0
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 355.9
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 353.9
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 353.8
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 353.0
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 352.0
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 351.6
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 351.3
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 350.5
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 349.5
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 349.1
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 349.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 346.7
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 343.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 339.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 337.0
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 335.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 335.2
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 333.9
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 332.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 330.0
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 329.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 327.9
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 327.5
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 327.0
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 326.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 325.4
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 325.1
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 324.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 321.0
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 320.3
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 316.4
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 314.6
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 313.4
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 309.5
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 308.8
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 304.7
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 304.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 303.0
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 301.9
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 297.4
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 297.3
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 295.8
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 293.1
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 288.3
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 287.1
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 282.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 278.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 277.8
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 275.3
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 272.4
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 264.0
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 258.9
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 250.7
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 244.8
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 242.7
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 240.5
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 238.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 236.7
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 235.6
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 232.9
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 231.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 228.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 220.3
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 193.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 170.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 169.4
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 164.8
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 121.0
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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.

COX8A is potential 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.

: 429.66
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 404.6
Number of samples 231
Samples
Sample Description pTPM
DO50829 78 years, male, NA, stage:3, alive, 570 days 1494.0
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1372.6
DO45303 62 years, female, NA, stage:3, alive, 990 days 1273.1
DO50839 47 years, female, NA, stage:3, alive, 330 days 1217.9
DO45211 76 years, male, NA, stage:3, alive, 240 days 1097.9
DO23508 79 years, female, NA, stage:2, alive, 390 days 1000.7
DO45209 70 years, male, NA, stage:4, alive, 1350 days 951.7
DO48747 62 years, male, NA, stage:3, alive, 540 days 950.5
DO45275 65 years, male, NA, stage:3, dead, 10 days 908.1
DO45283 60 years, male, NA, stage:3, alive, 510 days 890.5
DO48681 57 years, male, NA, stage:2, alive, 900 days 875.1
DO45161 74 years, male, NA, stage:2, dead, 540 days 800.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 779.4
DO45287 74 years, male, NA, stage:1, alive, 390 days 768.3
DO23519 65 years, male, NA, stage:3, alive, 630 days 757.1
DO45289 78 years, female, NA, stage:3, alive, 360 days 725.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 700.4
DO23523 52 years, male, NA, stage:3, alive, 1080 days 688.7
DO45307 54 years, female, NA, stage:4, dead, 240 days 673.5
DO48717 54 years, male, NA, stage:4, dead, 180 days 672.9
DO23552 80 years, female, NA, stage:1, alive, 810 days 639.9
DO50840 49 years, male, NA, stage:2, alive, 330 days 628.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 619.9
DO45305 66 years, male, NA, stage:4, alive, 300 days 617.9
DO45145 78 years, male, NA, stage:3, dead, 60 days 617.4
DO50791 79 years, female, NA, stage:1, dead, 480 days 613.1
DO45301 56 years, male, NA, stage:2, dead, 1440 days 606.7
DO45131 53 years, male, NA, stage:4, dead, 360 days 597.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 596.4
DO23526 66 years, male, NA, stage:3, alive, 1050 days 591.9
DO23525 71 years, male, NA, stage:4, alive, 1050 days 590.5
DO45092 62 years, male, NA, stage:4, dead, 1200 days 590.1
DO45139 63 years, male, NA, stage:3, alive, 1320 days 571.0
DO48737 52 years, male, NA, stage:1, alive, 720 days 568.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 544.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 535.3
DO45127 73 years, male, NA, stage:3, dead, 420 days 529.9
DO45179 78 years, female, NA, stage:2, alive, 600 days 529.2
DO23537 79 years, male, NA, stage:2, dead, 900 days 515.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 515.7
DO50789 73 years, female, NA, stage:2, alive, 570 days 509.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 505.2
DO45277 64 years, male, NA, stage:3, alive, 600 days 501.3
DO45237 58 years, male, NA, stage:2, alive, 900 days 500.3
DO45143 69 years, male, NA, stage:3, alive, 1290 days 496.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 495.9
DO23533 61 years, male, NA, stage:2, alive, 900 days 491.5
DO45183 72 years, female, NA, stage:2, dead, 570 days 484.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 480.0
DO50808 68 years, male, NA, stage:2, alive, 570 days 479.7
DO50799 66 years, female, NA, stage:2, alive, 540 days 479.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 476.9
DO50806 70 years, male, NA, stage:4, alive, 540 days 474.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 473.0
DO48697 64 years, female, NA, stage:2, dead, 810 days 468.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 466.1
DO50778 60 years, male, NA, stage:4, alive, 630 days 462.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 457.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 454.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 450.3
DO45093 71 years, male, NA, stage:2, dead, 720 days 447.0
DO50844 75 years, male, NA, stage:4, alive, 300 days 434.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 431.3
DO45285 59 years, male, NA, stage:3, alive, 480 days 430.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 429.7
DO50802 49 years, male, NA, stage:2, alive, 930 days 427.4
DO23524 71 years, female, NA, stage:2, alive, 1050 days 423.1
DO50855 47 years, male, NA, stage:2, alive, 570 days 422.0
DO50822 66 years, male, NA, stage:2, alive, 510 days 418.5
DO45155 69 years, male, NA, stage:2, alive, 2160 days 418.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 417.3
DO48712 50 years, male, NA, stage:2, alive, 810 days 412.6
DO23535 67 years, male, NA, stage:1, alive, 960 days 410.4
DO48682 72 years, female, NA, stage:3, dead, 120 days 409.6
DO48723 73 years, male, NA, stage:1, alive, 600 days 409.1
DO48759 73 years, male, NA, stage:3, alive, 720 days 406.1
DO45119 74 years, male, NA, stage:3, dead, 510 days 406.0
DO50809 56 years, male, NA, stage:3, dead, 720 days 405.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 404.6
DO45095 66 years, male, NA, stage:2, alive, 1620 days 403.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 402.9
DO45173 63 years, male, NA, stage:3, alive, 1170 days 401.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 400.9
DO45163 76 years, male, NA, stage:2, alive, 960 days 399.7
DO50805 72 years, male, NA, stage:2, alive, 690 days 396.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 395.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 394.8
DO45171 56 years, male, NA, stage:3, alive, 600 days 391.7
DO48701 78 years, male, NA, stage:2, alive, 780 days 391.5
DO45207 68 years, male, NA, stage:1, alive, 1050 days 391.0
DO23509 60 years, male, NA, stage:3, dead, 780 days 384.8
DO48751 68 years, male, NA, stage:2, dead, 480 days 383.7
DO48716 71 years, male, NA, stage:2, alive, 720 days 383.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 382.3
DO48720 62 years, female, NA, stage:2, alive, 570 days 379.8
DO23510 80 years, female, NA, stage:2, alive, 870 days 379.2
DO50793 76 years, male, NA, stage:4, alive, 540 days 377.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 377.8
DO48704 68 years, female, NA, stage:3, alive, 750 days 377.6
DO45165 75 years, male, NA, stage:2, alive, 690 days 377.2
DO48693 71 years, male, NA, stage:2, alive, 900 days 376.8
DO45257 46 years, male, NA, stage:3, alive, 810 days 373.7
DO23518 67 years, male, NA, stage:2, alive, 1320 days 373.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 369.2
DO45153 77 years, female, NA, stage:2, alive, 1380 days 368.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 367.7
DO48757 68 years, female, NA, stage:3, alive, 480 days 366.5
DO45169 74 years, male, NA, stage:3, alive, 1350 days 361.5
DO45133 64 years, male, NA, stage:3, dead, 660 days 360.9
DO45113 58 years, male, NA, stage:3, alive, 1560 days 360.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 359.3
DO50813 56 years, male, NA, stage:2, alive, 420 days 358.9
DO45265 73 years, male, NA, stage:3, alive, 1020 days 356.3
DO45159 65 years, male, NA, stage:3, alive, 1470 days 355.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 355.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 355.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 354.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 352.0
DO45096 69 years, male, NA, stage:2, dead, 1290 days 350.8
DO45273 62 years, male, NA, stage:2, alive, 480 days 349.6
DO45125 58 years, male, NA, stage:3, alive, 1680 days 347.0
DO45253 50 years, male, NA, stage:2, alive, 870 days 345.8
DO50818 65 years, male, NA, stage:2, alive, 510 days 344.7
DO45187 32 years, female, NA, stage:1, alive, 1260 days 343.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 343.3
DO45225 69 years, male, NA, stage:1, alive, 1050 days 342.3
DO48679 72 years, male, NA, stage:2, alive, 1200 days 342.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 341.9
DO48725 66 years, male, NA, stage:1, alive, 780 days 341.8
DO45221 75 years, female, NA, stage:4, dead, 390 days 340.5
DO48721 58 years, female, NA, stage:1, alive, 900 days 339.9
DO50800 74 years, male, NA, stage:2, alive, 510 days 335.7
DO23528 45 years, female, NA, stage:2, alive, 1020 days 332.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 329.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 328.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 327.6
DO48746 76 years, male, NA, stage:3, alive, 570 days 326.9
DO50850 74 years, male, NA, stage:3, alive, 720 days 326.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 323.9
DO50820 77 years, female, NA, stage:3, alive, 510 days 322.6
DO23540 73 years, male, NA, stage:1, alive, 750 days 322.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 320.3
DO45279 67 years, male, NA, stage:3, alive, 1290 days 320.2
DO23530 53 years, male, NA, stage:4, dead, 180 days 319.4
DO45137 38 years, male, NA, stage:1, alive, 1320 days 318.0
DO45191 61 years, female, NA, stage:2, alive, 1200 days 317.8
DO45261 74 years, male, NA, stage:3, alive, 990 days 316.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 315.2
DO48728 74 years, female, NA, stage:2, alive, 150 days 314.5
DO48695 77 years, male, NA, stage:2, alive, 720 days 314.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 313.8
DO45135 77 years, male, NA, stage:1, alive, 1410 days 312.9
DO45231 84 years, male, NA, stage:2, alive, 930 days 312.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 312.3
DO45175 74 years, male, NA, stage:2, alive, 1140 days 309.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 308.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 308.5
DO50774 68 years, female, NA, stage:2, alive, 720 days 307.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 306.0
DO48736 76 years, female, NA, stage:1, alive, 600 days 305.7
DO48706 72 years, male, NA, stage:2, alive, 870 days 302.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 301.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 301.2
DO48677 58 years, male, NA, stage:3, alive, 1140 days 301.1
DO48719 80 years, male, NA, stage:2, alive, 690 days 300.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 299.3
DO45219 78 years, male, NA, stage:2, alive, 1080 days 299.2
DO50814 83 years, male, NA, stage:3, alive, 420 days 298.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 297.7
DO45097 69 years, male, NA, stage:3, alive, 1620 days 296.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 296.3
DO50804 81 years, male, NA, stage:2, alive, 720 days 293.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 291.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 288.2
DO50785 37 years, male, NA, stage:4, dead, 90 days 285.1
DO45149 70 years, female, NA, stage:2, alive, 1260 days 279.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 278.0
DO50811 62 years, male, NA, stage:1, alive, 450 days 277.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 276.9
DO45185 89 years, male, NA, stage:2, alive, 600 days 276.4
DO23549 74 years, male, NA, stage:3, alive, 990 days 273.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 268.3
DO48733 72 years, male, NA, stage:2, alive, 600 days 267.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 265.8
DO23547 74 years, male, NA, stage:1, alive, 1020 days 262.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 261.8
DO45141 73 years, male, NA, stage:2, alive, 1320 days 261.0
DO45223 67 years, male, NA, stage:4, alive, 1020 days 259.3
DO23512 60 years, male, NA, stage:1, alive, 1260 days 255.3
DO50859 77 years, male, NA, stage:2, alive, 180 days 253.5
DO50817 75 years, male, NA, stage:2, alive, 390 days 252.3
DO48742 76 years, male, NA, stage:2, alive, 600 days 251.5
DO23536 56 years, male, NA, stage:2, alive, 930 days 251.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 245.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 245.2
DO23548 78 years, female, NA, stage:1, alive, 840 days 245.1
DO45193 68 years, female, NA, stage:4, dead, 120 days 244.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 242.9
DO45107 63 years, female, NA, stage:2, alive, 1710 days 241.8
DO45105 61 years, male, NA, stage:1, alive, 1680 days 241.6
DO45215 65 years, male, NA, stage:2, alive, 1170 days 240.8
DO23543 63 years, male, NA, stage:2, alive, 1020 days 240.7
DO23517 62 years, male, NA, stage:2, alive, 1200 days 238.3
DO48760 70 years, female, NA, stage:2, alive, 690 days 237.8
DO45203 71 years, female, NA, stage:2, alive, 1170 days 237.1
DO45241 49 years, male, NA, stage:1, alive, 1080 days 235.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 234.9
DO45181 84 years, female, NA, stage:2, alive, 1200 days 234.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 232.6
DO23527 72 years, male, NA, stage:1, alive, 1050 days 230.7
DO50825 70 years, male, NA, stage:2, alive, 390 days 230.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 225.9
DO227643 79 years, male, NA, stage:2, alive, 1260 days 225.4
DO45094 76 years, male, NA, stage:3, alive, 1650 days 217.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 212.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 210.3
DO23538 67 years, male, NA, stage:2, alive, 450 days 209.6
DO23531 78 years, female, NA, stage:3, alive, 900 days 207.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 202.3
DO45263 67 years, male, NA, stage:3, dead, 270 days 199.8
DO45233 83 years, male, NA, stage:3, alive, 900 days 194.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 189.6
DO45167 67 years, male, NA, stage:2, dead, 1440 days 183.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 183.6
DO50816 63 years, male, NA, stage:2, alive, 390 days 171.5
DO23511 83 years, female, NA, stage:3, dead, 180 days 167.7
DO23551 73 years, male, NA, stage:3, dead, 150 days 167.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 157.8
DO45239 42 years, male, NA, stage:2, alive, 870 days 155.0
DO45101 63 years, male, NA, stage:2, alive, 1680 days 153.1
DO50845 72 years, male, NA, stage:3, alive, 210 days 119.1
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
642 Normal 1.0
231 Tumor 1.0
227 Tumor 1.0
641 Tumor 1.0
557 Tumor 0.9
571 Tumor 0.9
981 Tumor 0.9
1025 Tumor 0.8
358 Normal 0.8
944 Normal 0.8
484 Normal 0.8
636 Normal 0.8
342 Normal 0.8
1041 Tumor 0.7
534 Normal 0.7
546 Normal 0.7
473 Tumor 0.7
866 Normal 0.7
618 Normal 0.7
564 Normal 0.7
1013 Tumor 0.7
864 Normal 0.7
964 Normal 0.7
915 Tumor 0.7
1026 Normal 0.7
411 Tumor 0.7
482 Normal 0.7
464 Normal 0.6
344 Normal 0.6
488 Normal 0.6
982 Normal 0.6
554 Normal 0.6
148 Normal 0.6
514 Normal 0.6
635 Tumor 0.6
196 Normal 0.6
918 Normal 0.6
278 Normal 0.6
696 Normal 0.6
1042 Normal 0.6
258 Normal 0.6
327 Tumor 0.6
456 Normal 0.6
356 Normal 0.6
722 Normal 0.6
867 Tumor 0.6
162 Normal 0.6
516 Normal 0.6
957 Tumor 0.6
452 Normal 0.6
328 Normal 0.5
955 Tumor 0.5
924 Normal 0.5
1014 Normal 0.5
868 Normal 0.5
926 Normal 0.5
628 Normal 0.5
922 Normal 0.5
698 Normal 0.5
172 Normal 0.5
911 Tumor 0.5
416 Normal 0.5
388 Normal 0.5
912 Normal 0.5
714 Normal 0.5
483 Tumor 0.5
462 Normal 0.5
494 Normal 0.5
824 Normal 0.5
477 Tumor 0.5
314 Normal 0.5
984 Normal 0.5
364 Normal 0.5
423 Tumor 0.5
412 Normal 0.5
428 Normal 0.5
695 Tumor 0.5
366 Normal 0.5
132 Normal 0.5
368 Normal 0.5
862 Normal 0.5
518 Normal 0.5
268 Normal 0.5
528 Normal 0.5
956 Normal 0.5
525 Tumor 0.5
426 Normal 0.5
472 Normal 0.5
396 Normal 0.5
526 Normal 0.5
362 Normal 0.5
1028 Normal 0.4
222 Normal 0.4
728 Normal 0.4
466 Normal 0.4
354 Normal 0.4
723 Tumor 0.4
212 Normal 0.4
1032 Normal 0.4
958 Normal 0.4
1015 Tumor 0.4
952 Normal 0.4
434 Normal 0.4
451 Tumor 0.4
188 Normal 0.4
742 Normal 0.4
568 Normal 0.4
553 Tumor 0.4
138 Normal 0.4
448 Normal 0.4
436 Normal 0.4
361 Tumor 0.4
145 Tumor 0.4
1046 Normal 0.4
976 Normal 0.4
858 Normal 0.4
376 Normal 0.4
474 Normal 0.4
136 Normal 0.4
738 Normal 0.4
424 Normal 0.4
446 Normal 0.4
228 Normal 0.4
171 Tumor 0.4
664 Normal 0.4
978 Normal 0.4
284 Normal 0.4
352 Normal 0.4
916 Normal 0.4
713 Tumor 0.4
414 Normal 0.3
745 Tumor 0.3
341 Tumor 0.3
572 Normal 0.3
818 Normal 0.3
298 Normal 0.3
816 Normal 0.3
272 Normal 0.3
128 Normal 0.3
127 Tumor 0.3
343 Tumor 0.3
616 Normal 0.3
214 Normal 0.3
574 Normal 0.3
232 Normal 0.3
914 Normal 0.3
662 Normal 0.3
468 Normal 0.3
968 Normal 0.3
422 Normal 0.3
814 Normal 0.3
1022 Normal 0.3
648 Normal 0.3
538 Normal 0.3
186 Normal 0.3
954 Normal 0.3
111 Normal 0.3
386 Normal 0.3
463 Tumor 0.3
746 Normal 0.3
786 Normal 0.3
286 Normal 0.3
224 Normal 0.3
394 Normal 0.3
433 Tumor 0.3
861 Tumor 0.3
558 Normal 0.3
432 Normal 0.2
478 Normal 0.2
878 Normal 0.2
923 Tumor 0.2
874 Normal 0.2
627 Tumor 0.2
392 Normal 0.2
1016 Normal 0.2
1045 Tumor 0.2
938 Normal 0.2
666 Normal 0.2
113 Tumor 0.2
498 Normal 0.2
493 Tumor 0.2
882 Normal 0.2
393 Tumor 0.2
415 Tumor 0.2
492 Normal 0.2
744 Normal 0.2
114 Normal 0.2
685 Tumor 0.2
267 Tumor 0.2
813 Tumor 0.2
966 Normal 0.2
686 Normal 0.2
1031 Tumor 0.2
741 Tumor 0.2
716 Normal 0.2
778 Normal 0.2
192 Normal 0.2
142 Normal 0.2
567 Tumor 0.2
513 Tumor 0.2
218 Normal 0.1
357 Tumor 0.1
126 Normal 0.1
524 Normal 0.1
715 Tumor 0.1
257 Tumor 0.1
146 Normal 0.1
467 Tumor 0.1
262 Normal 0.1
1044 Normal 0.1
937 Tumor 0.1
537 Tumor 0.1
312 Normal 0.1
865 Tumor 0.1
672 Normal 0.1
384 Normal 0.1
112 Tumor 0.1
852 Normal 0.1
124 Normal 0.1
277 Tumor 0.1
444 Normal 0.1
573 Tumor 0.1
191 Tumor 0.0
332 Normal 0.0
756 Normal 0.0
355 Tumor 0.0
223 Tumor 0.0
481 Tumor 0.0
221 Tumor 0.0
353 Tumor 0.0
363 Tumor 0.0
523 Tumor 0.0
135 Tumor 0.0
367 Tumor 0.0
217 Tumor 0.0
491 Tumor 0.0
533 Tumor 0.0
271 Tumor 0.0
383 Tumor 0.0
697 Tumor 0.0
487 Tumor 0.0
497 Tumor -0.1
925 Tumor -0.1
427 Tumor -0.1
953 Tumor -0.1
823 Tumor -0.1
963 Tumor -0.1
617 Tumor -0.1
313 Tumor -0.1
261 Tumor -0.1
857 Tumor -0.1
431 Tumor -0.1
563 Tumor -0.1
187 Tumor -0.1
195 Tumor -0.1
351 Tumor -0.1
435 Tumor -0.1
517 Tumor -0.1
977 Tumor -0.1
123 Tumor -0.1
147 Tumor -0.1
465 Tumor -0.2
375 Tumor -0.2
615 Tumor -0.2
873 Tumor -0.2
884 Normal -0.2
663 Tumor -0.2
125 Tumor -0.2
387 Tumor -0.2
755 Tumor -0.2
161 Tumor -0.2
975 Tumor -0.2
365 Tumor -0.2
141 Tumor -0.2
536 Normal -0.2
185 Tumor -0.2
913 Tumor -0.2
951 Tumor -0.2
743 Tumor -0.2
213 Tumor -0.2
665 Tumor -0.2
137 Tumor -0.2
421 Tumor -0.2
1021 Tumor -0.3
285 Tumor -0.3
965 Tumor -0.3
331 Tumor -0.3
527 Tumor -0.3
917 Tumor -0.3
455 Tumor -0.3
1043 Tumor -0.3
413 Tumor -0.3
471 Tumor -0.3
461 Tumor -0.3
881 Tumor -0.3
983 Tumor -0.3
967 Tumor -0.3
647 Tumor -0.3
1027 Tumor -0.3
395 Tumor -0.4
443 Tumor -0.4
777 Tumor -0.4
385 Tumor -0.4
515 Tumor -0.4
545 Tumor -0.4
817 Tumor -0.4
943 Tumor -0.4
391 Tumor -0.4
863 Tumor -0.4
447 Tumor -0.5
211 Tumor -0.5
535 Tumor -0.5
921 Tumor -0.5
661 Tumor -0.5
737 Tumor -0.5
445 Tumor -0.5
425 Tumor -0.5
671 Tumor -0.6
785 Tumor -0.6
311 Tumor -0.6
815 Tumor -0.6
883 Tumor -0.6
727 Tumor -0.6
283 Tumor -0.7
721 Tumor -0.7
297 Tumor -0.7
851 Tumor -0.7
724 Normal -0.7
877 Tumor -0.9
131 Tumor -1.0
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 HPA055942
 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

Contact

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