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ATP5PD
HPA
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  • SUMMARY

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  • ATP5PD
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.

ATP5PD is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 528.63
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 458.0
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1123.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1121.3
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1088.1
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1051.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1031.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 891.9
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 874.0
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 870.2
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 848.3
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 829.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 822.3
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 816.5
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 809.1
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 797.5
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 786.3
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 769.0
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 768.3
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 767.5
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 760.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 759.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 757.4
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 746.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 737.0
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 730.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 725.6
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 702.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 696.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 693.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 693.0
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 691.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 685.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 684.6
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 683.0
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 669.4
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 660.4
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 649.4
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 638.7
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 630.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 629.7
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 629.7
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 624.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 622.1
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 617.2
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 615.8
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 612.8
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 611.7
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 610.0
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 609.3
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 604.6
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 603.6
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 602.7
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 602.0
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 601.4
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 599.8
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 599.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 599.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 597.8
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 595.2
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 593.1
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 588.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 588.4
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 588.3
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 585.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 582.6
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 579.3
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 578.9
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 577.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 573.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 568.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 566.3
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 565.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 565.7
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 565.7
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 564.2
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 563.9
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 563.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 562.0
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 560.9
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 560.1
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 557.1
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 556.9
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 549.7
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 546.0
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 545.8
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 545.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 541.1
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 541.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 540.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 540.0
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 538.4
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 537.5
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 536.4
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 533.5
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 531.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 528.9
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 528.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 528.5
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 527.9
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 527.7
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 527.2
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 526.6
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 526.0
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 525.9
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 524.9
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 523.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 521.9
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 521.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 520.2
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 519.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 517.7
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 516.6
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 514.6
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 514.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 512.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 511.3
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 510.0
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 508.3
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 506.9
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 505.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 505.3
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 505.0
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 503.2
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 501.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 499.3
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 497.5
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 495.8
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 495.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 495.1
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 493.6
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 493.1
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 492.2
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 490.5
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 490.0
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 489.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 488.8
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 486.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 480.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 480.0
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 479.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 478.0
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 477.2
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 477.0
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 477.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 475.9
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 475.1
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 474.2
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 474.0
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 473.7
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 473.0
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 472.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 471.7
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 470.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 469.4
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 468.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 468.7
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 467.4
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 463.1
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 462.4
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 460.9
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 460.6
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 460.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 459.5
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 458.1
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 457.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 455.1
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 454.8
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 454.8
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 454.3
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 453.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 452.2
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 451.6
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 451.5
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 451.0
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 445.5
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 444.3
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 441.7
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 436.2
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 436.2
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 435.8
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 435.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 433.3
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 433.1
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 430.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 429.2
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 429.0
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 428.8
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 426.6
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 426.2
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 426.1
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 425.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 424.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 424.2
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 423.5
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 423.2
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 422.9
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 422.4
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 422.0
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 420.8
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 420.7
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 417.4
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 413.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 412.7
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 412.2
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 412.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 411.4
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 409.0
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 408.8
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 408.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 408.1
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 406.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 406.2
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 406.0
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 404.7
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 404.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 404.0
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 402.9
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 402.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 402.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 402.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 401.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 399.6
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 398.5
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 394.0
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 392.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 392.3
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 390.5
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 389.3
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 388.1
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 388.1
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 385.6
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 383.9
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 382.0
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 381.4
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 380.4
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 380.2
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 379.9
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 379.0
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 378.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 377.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 377.0
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 375.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 374.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 373.4
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 368.9
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 368.3
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 368.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 366.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 366.1
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 365.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 361.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 361.1
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 360.8
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 358.4
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 358.2
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 356.0
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 355.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 355.3
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 354.7
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 353.3
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 350.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 350.1
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 349.1
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 348.3
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 346.9
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 346.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 346.3
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 346.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 345.2
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 343.3
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 339.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 338.3
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 337.6
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 337.2
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 336.0
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 335.7
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 332.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 332.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 331.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 328.5
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 326.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 326.1
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 326.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 325.7
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 324.5
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 324.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 323.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 322.4
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 322.3
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 322.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 321.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 321.0
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 320.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 320.6
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 319.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 319.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 318.1
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 317.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 317.3
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 316.1
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 314.8
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 314.7
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 314.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 310.2
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 310.0
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 307.7
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 307.7
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 305.4
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 304.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 302.4
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 300.9
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 299.3
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 297.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 296.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 295.3
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 295.1
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 294.3
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 293.8
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 293.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 292.6
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 290.2
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 289.6
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 289.1
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 287.4
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 287.0
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 286.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 286.9
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 286.2
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 282.7
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 282.6
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 282.2
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 282.1
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 281.6
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 279.3
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 276.6
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 275.9
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 272.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 272.7
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 272.2
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 270.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 270.2
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 269.8
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 269.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 268.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 266.6
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 260.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 253.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 253.9
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 253.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 252.4
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 251.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 251.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 248.5
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 246.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 240.8
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 236.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 229.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 223.1
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 211.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 191.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 182.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 147.9
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 142.3
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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.

  Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
627 Tumor 1.6
227 Tumor 0.8
571 Tumor 0.7
448 Normal 0.6
513 Tumor 0.6
745 Tumor 0.6
636 Normal 0.5
714 Normal 0.5
452 Normal 0.5
756 Normal 0.5
786 Normal 0.5
862 Normal 0.5
722 Normal 0.5
328 Normal 0.5
922 Normal 0.5
868 Normal 0.5
356 Normal 0.5
128 Normal 0.5
713 Tumor 0.4
462 Normal 0.4
534 Normal 0.4
648 Normal 0.4
172 Normal 0.4
698 Normal 0.4
1027 Tumor 0.4
488 Normal 0.4
858 Normal 0.4
882 Normal 0.4
742 Normal 0.4
864 Normal 0.4
746 Normal 0.4
944 Normal 0.4
232 Normal 0.4
912 Normal 0.4
723 Tumor 0.4
1032 Normal 0.4
738 Normal 0.4
615 Tumor 0.4
162 Normal 0.4
938 Normal 0.4
388 Normal 0.4
278 Normal 0.4
412 Normal 0.4
394 Normal 0.4
258 Normal 0.4
423 Tumor 0.4
914 Normal 0.4
1043 Tumor 0.4
564 Normal 0.4
1045 Tumor 0.4
314 Normal 0.4
424 Normal 0.4
1046 Normal 0.4
616 Normal 0.3
344 Normal 0.3
436 Normal 0.3
618 Normal 0.3
298 Normal 0.3
228 Normal 0.3
286 Normal 0.3
823 Tumor 0.3
728 Normal 0.3
1025 Tumor 0.3
414 Normal 0.3
358 Normal 0.3
416 Normal 0.3
428 Normal 0.3
484 Normal 0.3
546 Normal 0.3
111 Normal 0.3
866 Normal 0.3
824 Normal 0.3
426 Normal 0.3
222 Normal 0.3
818 Normal 0.3
514 Normal 0.3
472 Normal 0.3
1026 Normal 0.3
196 Normal 0.3
1022 Normal 0.3
568 Normal 0.3
114 Normal 0.3
958 Normal 0.3
1014 Normal 0.2
852 Normal 0.2
411 Tumor 0.2
964 Normal 0.2
186 Normal 0.2
148 Normal 0.2
572 Normal 0.2
342 Normal 0.2
376 Normal 0.2
628 Normal 0.2
686 Normal 0.2
984 Normal 0.2
392 Normal 0.2
867 Tumor 0.2
422 Normal 0.2
982 Normal 0.2
924 Normal 0.2
364 Normal 0.2
981 Tumor 0.2
214 Normal 0.2
132 Normal 0.2
695 Tumor 0.2
515 Tumor 0.2
284 Normal 0.2
518 Normal 0.2
926 Normal 0.2
696 Normal 0.2
528 Normal 0.2
954 Normal 0.2
666 Normal 0.2
526 Normal 0.2
487 Tumor 0.2
1041 Tumor 0.2
465 Tumor 0.2
716 Normal 0.2
1042 Normal 0.2
494 Normal 0.2
664 Normal 0.2
635 Tumor 0.2
361 Tumor 0.2
976 Normal 0.2
874 Normal 0.2
482 Normal 0.2
1028 Normal 0.2
138 Normal 0.2
816 Normal 0.2
642 Normal 0.2
212 Normal 0.2
352 Normal 0.2
466 Normal 0.2
446 Normal 0.1
464 Normal 0.1
923 Tumor 0.1
925 Tumor 0.1
878 Normal 0.1
363 Tumor 0.1
257 Tumor 0.1
978 Normal 0.1
354 Normal 0.1
218 Normal 0.1
558 Normal 0.1
741 Tumor 0.1
272 Normal 0.1
968 Normal 0.1
136 Normal 0.1
396 Normal 0.1
918 Normal 0.1
474 Normal 0.1
432 Normal 0.1
1016 Normal 0.1
955 Tumor 0.1
956 Normal 0.1
785 Tumor 0.1
662 Normal 0.1
537 Tumor 0.1
554 Normal 0.1
262 Normal 0.1
468 Normal 0.1
393 Tumor 0.1
727 Tumor 0.1
778 Normal 0.1
142 Normal 0.1
386 Normal 0.1
916 Normal 0.1
362 Normal 0.1
366 Normal 0.1
1044 Normal 0.1
332 Normal 0.1
327 Tumor 0.1
461 Tumor 0.1
538 Normal 0.0
368 Normal 0.0
755 Tumor 0.0
915 Tumor 0.0
312 Normal 0.0
884 Normal 0.0
516 Normal 0.0
966 Normal 0.0
188 Normal 0.0
863 Tumor 0.0
744 Normal 0.0
911 Tumor 0.0
146 Normal 0.0
145 Tumor 0.0
126 Normal 0.0
224 Normal 0.0
353 Tumor 0.0
113 Tumor 0.0
574 Normal 0.0
672 Normal 0.0
873 Tumor 0.0
456 Normal 0.0
952 Normal 0.0
451 Tumor 0.0
953 Tumor 0.0
524 Normal 0.0
1013 Tumor 0.0
365 Tumor -0.1
517 Tumor -0.1
444 Normal -0.1
268 Normal -0.1
1031 Tumor -0.1
443 Tumor -0.1
478 Normal -0.1
557 Tumor -0.1
415 Tumor -0.1
481 Tumor -0.1
434 Normal -0.1
124 Normal -0.1
483 Tumor -0.1
498 Normal -0.1
384 Normal -0.1
563 Tumor -0.2
137 Tumor -0.2
567 Tumor -0.2
492 Normal -0.2
967 Tumor -0.2
525 Tumor -0.2
553 Tumor -0.2
231 Tumor -0.2
261 Tumor -0.2
427 Tumor -0.2
112 Tumor -0.2
527 Tumor -0.2
617 Tumor -0.2
737 Tumor -0.2
223 Tumor -0.2
937 Tumor -0.2
161 Tumor -0.2
341 Tumor -0.2
721 Tumor -0.2
477 Tumor -0.2
425 Tumor -0.3
523 Tumor -0.3
491 Tumor -0.3
777 Tumor -0.3
861 Tumor -0.3
267 Tumor -0.3
187 Tumor -0.3
433 Tumor -0.3
857 Tumor -0.3
536 Normal -0.3
697 Tumor -0.3
921 Tumor -0.3
195 Tumor -0.3
217 Tumor -0.3
171 Tumor -0.4
743 Tumor -0.4
533 Tumor -0.4
135 Tumor -0.4
573 Tumor -0.4
313 Tumor -0.4
192 Normal -0.4
851 Tumor -0.4
221 Tumor -0.4
127 Tumor -0.4
431 Tumor -0.4
641 Tumor -0.4
663 Tumor -0.4
815 Tumor -0.4
191 Tumor -0.4
715 Tumor -0.4
185 Tumor -0.4
814 Normal -0.4
297 Tumor -0.4
813 Tumor -0.4
357 Tumor -0.4
883 Tumor -0.4
421 Tumor -0.4
1015 Tumor -0.5
647 Tumor -0.5
957 Tumor -0.5
355 Tumor -0.5
271 Tumor -0.5
125 Tumor -0.5
951 Tumor -0.5
141 Tumor -0.5
1021 Tumor -0.5
387 Tumor -0.5
685 Tumor -0.5
913 Tumor -0.5
473 Tumor -0.5
147 Tumor -0.5
213 Tumor -0.5
455 Tumor -0.5
285 Tumor -0.6
963 Tumor -0.6
665 Tumor -0.6
471 Tumor -0.6
447 Tumor -0.6
977 Tumor -0.6
493 Tumor -0.6
413 Tumor -0.6
975 Tumor -0.7
983 Tumor -0.7
917 Tumor -0.7
383 Tumor -0.7
881 Tumor -0.7
375 Tumor -0.7
497 Tumor -0.7
435 Tumor -0.7
463 Tumor -0.7
943 Tumor -0.7
865 Tumor -0.7
467 Tumor -0.7
445 Tumor -0.8
367 Tumor -0.8
391 Tumor -0.8
817 Tumor -0.8
671 Tumor -0.8
385 Tumor -0.8
351 Tumor -0.9
311 Tumor -0.9
535 Tumor -0.9
277 Tumor -0.9
395 Tumor -0.9
211 Tumor -1.0
661 Tumor -1.0
965 Tumor -1.0
724 Normal -1.0
877 Tumor -1.0
331 Tumor -1.1
131 Tumor -1.1
123 Tumor -1.2
283 Tumor -1.3
343 Tumor -1.3
545 Tumor -1.4
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LIVER CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA042777

Antibody HPA048459
 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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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


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