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SELENOK
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  • SUMMARY

  • TISSUE

  • BRAIN

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CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
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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.

SELENOK 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.

: 38.4
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 37.4
Number of samples 362
Samples
Sample Description pTPM
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 93.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 92.0
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 86.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 85.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 85.0
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 81.5
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 79.1
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 75.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 72.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 72.8
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 71.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 71.8
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 67.3
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 66.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 65.3
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 65.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 63.3
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 63.1
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 62.5
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 60.9
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 60.5
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 60.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 59.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 58.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 57.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 57.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 56.8
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 56.5
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 56.3
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 56.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 56.1
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 56.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 55.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 55.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 55.2
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 55.2
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 54.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 54.3
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 53.5
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 53.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 53.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 53.1
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 52.6
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 52.2
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 52.1
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 52.0
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 51.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 51.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 51.6
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 51.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 51.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 51.1
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 50.9
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 50.7
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 50.2
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 49.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 49.4
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 49.2
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 49.2
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 49.1
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 49.1
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 49.0
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 48.9
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 48.8
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 48.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 48.6
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 48.6
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 48.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 48.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 48.4
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 48.3
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 48.2
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 48.2
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 47.9
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 47.7
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 47.6
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 47.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 47.0
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 46.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 46.4
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 46.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 45.9
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 45.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 45.7
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 45.5
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 45.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 45.0
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 44.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 44.7
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 44.7
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 44.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 44.5
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 44.3
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 44.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 44.1
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 43.6
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 43.2
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 43.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 42.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 42.8
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 42.8
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 42.6
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 42.6
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 42.5
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 42.5
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 42.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 42.1
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 41.9
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 41.8
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 41.8
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 41.5
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 41.4
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 41.4
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 41.0
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 40.7
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 40.5
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 40.5
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 40.5
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 40.2
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 40.0
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 39.9
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 39.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 39.9
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 39.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 39.8
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 39.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 39.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 39.6
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 39.4
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 39.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 39.2
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 38.8
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 38.7
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 38.7
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 38.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 38.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 38.4
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 38.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 38.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 38.4
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 38.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 38.3
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 38.0
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 37.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 37.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 37.8
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 37.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 37.5
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 37.5
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 37.4
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 37.4
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 37.3
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 37.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 37.1
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 36.9
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 36.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 36.5
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 36.4
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 36.2
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 36.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 36.1
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 36.1
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 36.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 36.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 35.7
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 35.6
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 35.5
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 35.5
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 35.5
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 35.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 35.4
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 35.1
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 35.0
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 35.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 35.0
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 35.0
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 35.0
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 34.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 34.9
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 34.9
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 34.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 34.8
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 34.8
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 34.7
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 34.7
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 34.5
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 34.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 34.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 34.3
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 34.2
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 34.2
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 34.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 34.0
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 33.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 33.9
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 33.5
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 33.5
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 33.2
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 33.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 33.2
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 33.1
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 33.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 33.1
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 33.0
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 33.0
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 32.9
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 32.8
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 32.8
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 32.8
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 32.7
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 32.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 32.5
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 32.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 32.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 32.2
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 32.2
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 32.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 32.0
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 32.0
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 31.8
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 31.7
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 31.5
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 31.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 31.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 31.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 31.5
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 31.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 31.4
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 31.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 31.3
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 31.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 31.1
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 31.0
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 30.9
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 30.8
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 30.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 30.7
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 30.7
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 30.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 30.5
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 30.5
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 30.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 30.2
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 30.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 30.1
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 30.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 29.9
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 29.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 29.8
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 29.6
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 29.5
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 29.4
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 29.4
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 29.4
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 29.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 29.3
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 29.3
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 29.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 29.1
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 29.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 28.9
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 28.9
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 28.9
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 28.7
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 28.7
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 28.6
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 28.4
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 28.3
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 28.1
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 28.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 28.0
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 28.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 28.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 28.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 27.6
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 27.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 27.4
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 27.4
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 27.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 27.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 27.0
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 26.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 26.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 26.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 26.7
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 26.7
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 26.6
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 26.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 26.4
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 26.3
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 26.3
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 26.0
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 25.9
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 25.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 25.8
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 25.8
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 25.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 25.7
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 25.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 25.6
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 25.6
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 25.6
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 25.5
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 25.5
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 25.2
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 25.2
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 25.1
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 25.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 25.0
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 24.9
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 24.7
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 24.7
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 24.6
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 24.5
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 24.5
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 24.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 24.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 24.1
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 24.0
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 23.9
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 23.7
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 23.6
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 23.4
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 23.4
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 23.3
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 23.0
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 22.9
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 22.9
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 22.9
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 22.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 22.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 22.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 22.4
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 22.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 22.1
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 22.1
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 21.8
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 21.8
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 21.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 21.5
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 21.3
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 21.2
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 21.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 20.8
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 20.5
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 20.3
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 20.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 19.9
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 19.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 19.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 19.1
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 19.1
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 18.9
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 18.8
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 18.6
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 18.2
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 18.0
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 17.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 17.5
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 16.6
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 14.5
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 12.7
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

  Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
211 Tumor 1.5
395 Tumor 1.3
697 Tumor 1.2
937 Tumor 1.1
615 Tumor 1.0
535 Tumor 1.0
525 Tumor 1.0
724 Normal 0.9
965 Tumor 0.9
383 Tumor 0.9
963 Tumor 0.9
915 Tumor 0.9
1045 Tumor 0.9
957 Tumor 0.8
487 Tumor 0.8
524 Normal 0.7
385 Tumor 0.7
448 Normal 0.7
516 Normal 0.7
518 Normal 0.7
387 Tumor 0.7
327 Tumor 0.7
447 Tumor 0.6
983 Tumor 0.6
911 Tumor 0.6
878 Normal 0.6
331 Tumor 0.6
328 Normal 0.6
514 Normal 0.6
1015 Tumor 0.6
515 Tumor 0.6
277 Tumor 0.6
536 Normal 0.6
966 Normal 0.6
135 Tumor 0.5
351 Tumor 0.5
517 Tumor 0.5
1046 Normal 0.5
311 Tumor 0.5
628 Normal 0.5
271 Tumor 0.5
866 Normal 0.5
665 Tumor 0.5
573 Tumor 0.5
967 Tumor 0.5
384 Normal 0.5
818 Normal 0.5
223 Tumor 0.5
523 Tumor 0.5
483 Tumor 0.4
1042 Normal 0.4
861 Tumor 0.4
467 Tumor 0.4
867 Tumor 0.4
492 Normal 0.4
1028 Normal 0.4
368 Normal 0.4
661 Tumor 0.4
857 Tumor 0.4
393 Tumor 0.4
698 Normal 0.4
364 Normal 0.4
427 Tumor 0.4
741 Tumor 0.4
484 Normal 0.4
943 Tumor 0.4
1026 Normal 0.4
671 Tumor 0.4
286 Normal 0.4
526 Normal 0.4
341 Tumor 0.4
627 Tumor 0.4
367 Tumor 0.4
498 Normal 0.3
533 Tumor 0.3
231 Tumor 0.3
471 Tumor 0.3
375 Tumor 0.3
396 Normal 0.3
642 Normal 0.3
283 Tumor 0.3
917 Tumor 0.3
481 Tumor 0.3
647 Tumor 0.3
918 Normal 0.3
951 Tumor 0.3
1041 Tumor 0.3
1022 Normal 0.3
1016 Normal 0.3
817 Tumor 0.3
446 Normal 0.3
728 Normal 0.2
672 Normal 0.2
636 Normal 0.2
852 Normal 0.2
913 Tumor 0.2
558 Normal 0.2
721 Tumor 0.2
412 Normal 0.2
816 Normal 0.2
212 Normal 0.2
1044 Normal 0.2
434 Normal 0.2
284 Normal 0.2
964 Normal 0.2
1032 Normal 0.2
357 Tumor 0.2
616 Normal 0.2
722 Normal 0.2
546 Normal 0.2
727 Tumor 0.2
466 Normal 0.2
568 Normal 0.2
497 Tumor 0.2
465 Tumor 0.2
968 Normal 0.2
953 Tumor 0.2
618 Normal 0.2
981 Tumor 0.2
744 Normal 0.2
376 Normal 0.2
137 Tumor 0.2
132 Normal 0.2
455 Tumor 0.2
131 Tumor 0.2
944 Normal 0.2
228 Normal 0.2
171 Tumor 0.2
138 Normal 0.1
422 Normal 0.1
858 Normal 0.1
984 Normal 0.1
954 Normal 0.1
488 Normal 0.1
285 Tumor 0.1
411 Tumor 0.1
355 Tumor 0.1
662 Normal 0.1
148 Normal 0.1
714 Normal 0.1
864 Normal 0.1
545 Tumor 0.1
785 Tumor 0.1
366 Normal 0.1
824 Normal 0.1
982 Normal 0.1
161 Tumor 0.1
363 Tumor 0.1
464 Normal 0.1
922 Normal 0.1
938 Normal 0.1
356 Normal 0.1
685 Tumor 0.1
1014 Normal 0.1
862 Normal 0.1
268 Normal 0.1
494 Normal 0.1
362 Normal 0.1
563 Tumor 0.1
126 Normal 0.1
456 Normal 0.1
572 Normal 0.1
648 Normal 0.1
958 Normal 0.1
635 Tumor 0.1
537 Tumor 0.1
343 Tumor 0.1
975 Tumor 0.1
113 Tumor 0.1
127 Tumor 0.0
463 Tumor 0.0
567 Tumor 0.0
477 Tumor 0.0
474 Normal 0.0
882 Normal 0.0
146 Normal 0.0
527 Tumor 0.0
482 Normal 0.0
978 Normal 0.0
564 Normal 0.0
716 Normal 0.0
415 Tumor 0.0
222 Normal 0.0
142 Normal 0.0
214 Normal 0.0
258 Normal 0.0
777 Tumor 0.0
257 Tumor 0.0
192 Normal 0.0
737 Tumor 0.0
641 Tumor 0.0
617 Tumor 0.0
413 Tumor 0.0
262 Normal 0.0
574 Normal 0.0
478 Normal 0.0
956 Normal 0.0
365 Tumor 0.0
111 Normal 0.0
914 Normal -0.1
916 Normal -0.1
955 Tumor -0.1
218 Normal -0.1
786 Normal -0.1
952 Normal -0.1
554 Normal -0.1
538 Normal -0.1
426 Normal -0.1
344 Normal -0.1
696 Normal -0.1
924 Normal -0.1
868 Normal -0.1
114 Normal -0.1
686 Normal -0.1
297 Tumor -0.1
416 Normal -0.1
1025 Tumor -0.1
232 Normal -0.1
814 Normal -0.1
188 Normal -0.1
664 Normal -0.1
187 Tumor -0.1
926 Normal -0.1
491 Tumor -0.1
823 Tumor -0.1
436 Normal -0.1
884 Normal -0.1
196 Normal -0.1
921 Tumor -0.1
738 Normal -0.1
513 Tumor -0.1
386 Normal -0.1
472 Normal -0.1
352 Normal -0.1
468 Normal -0.1
452 Normal -0.1
571 Tumor -0.1
185 Tumor -0.1
217 Tumor -0.2
432 Normal -0.2
445 Tumor -0.2
1031 Tumor -0.2
493 Tumor -0.2
261 Tumor -0.2
746 Normal -0.2
125 Tumor -0.2
227 Tumor -0.2
278 Normal -0.2
666 Normal -0.2
813 Tumor -0.2
528 Normal -0.2
213 Tumor -0.2
534 Normal -0.2
361 Tumor -0.2
425 Tumor -0.2
428 Normal -0.2
745 Tumor -0.2
423 Tumor -0.2
881 Tumor -0.2
473 Tumor -0.2
925 Tumor -0.2
388 Normal -0.2
851 Tumor -0.2
353 Tumor -0.2
224 Normal -0.2
391 Tumor -0.2
272 Normal -0.2
553 Tumor -0.2
723 Tumor -0.2
298 Normal -0.3
742 Normal -0.3
128 Normal -0.3
267 Tumor -0.3
756 Normal -0.3
977 Tumor -0.3
874 Normal -0.3
778 Normal -0.3
354 Normal -0.3
312 Normal -0.3
755 Tumor -0.3
1027 Tumor -0.3
444 Normal -0.3
191 Tumor -0.3
461 Tumor -0.3
923 Tumor -0.3
124 Normal -0.3
195 Tumor -0.3
663 Tumor -0.3
743 Tumor -0.3
392 Normal -0.3
451 Tumor -0.4
342 Normal -0.4
873 Tumor -0.4
172 Normal -0.4
424 Normal -0.4
162 Normal -0.4
815 Tumor -0.4
421 Tumor -0.4
1013 Tumor -0.4
431 Tumor -0.4
145 Tumor -0.4
414 Normal -0.4
912 Normal -0.4
221 Tumor -0.4
136 Normal -0.4
1043 Tumor -0.5
141 Tumor -0.5
713 Tumor -0.5
695 Tumor -0.5
394 Normal -0.5
332 Normal -0.5
462 Normal -0.5
433 Tumor -0.5
313 Tumor -0.6
1021 Tumor -0.6
358 Normal -0.6
112 Tumor -0.6
557 Tumor -0.6
123 Tumor -0.6
314 Normal -0.7
976 Normal -0.7
147 Tumor -0.7
865 Tumor -0.7
715 Tumor -0.8
883 Tumor -0.8
435 Tumor -0.8
186 Normal -0.8
877 Tumor -0.9
863 Tumor -0.9
443 Tumor -1.3
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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 HPA008196
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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