We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
SAA1
HPA
RESOURCES
  • TISSUE
  • BRAIN
  • SINGLE CELL
  • SUBCELLULAR
  • CANCER
  • BLOOD
  • CELL LINE
  • STRUCTURE & INTERACTION
ABOUT
  • INTRODUCTION
  • HISTORY
  • ORGANIZATION
  • PUBLICATIONS
  • ANTIBODY SUBMISSION
  • ANTIBODY AVAILABILITY
  • ACKNOWLEDGMENTS
  • CONTACT
NEWS
  • NEWS ARTICLES
  • PRESS ROOM
LEARN
  • DICTIONARY
  • PROTEIN CLASSES
  • PROTEIN EVIDENCE
  • METHODS
  • EDUCATIONAL VIDEOS
DATA
  • DOWNLOADABLE DATA
  • PUBLICATION DATA
  • RELEASE HISTORY
HELP
  • ANTIBODY VALIDATION
  • ASSAYS & ANNOTATION
  • DISCLAIMER
  • HELP & FAQ
  • PRIVACY STATEMENT
  • LICENCE & CITATION
Fields »
Search result

Field
Term
Gene name
Class
Subclass
Class
Keyword
Chromosome
External id
Tissue
Cell type
Expression
Antibody panel
Tissue
Main location
Patient ID
Annotation
Tissue
Category
Tau score
Cluster
Reliability
Brain region
Category
Tau score
Brain region
Category
Tau score
Brain region
Category
Tau score
Cluster
Reliability
Tissue
Cell type
Enrichment
Cell type
Category
Tau score
Cell type
Category
Tau score
Cell type
Category
Tau score
Cell lineage
Category
Tau score
Cluster
Cluster
Location
Searches
Location
Cell line
Class
Type
Phase
Reliability
Cancer
Prognosis
Cancer
Category
Cancer
Category
Tau score
Cluster
Variants
Interacting gene (ensg_id)
Type
Number of interactions
Pathway
Category
Score
Score
Score
Validation
Validation
Validation
Validation
Antibodies
Data type
Column


  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • SUBCELL

  • CANCER

  • BLOOD

  • CELL LINE

  • STRUCT & INT

  • SAA1
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
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.

SAA1 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.

: 74.17
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 1987.6
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 51955.2
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 42492.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 38794.6
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 38685.5
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 28295.8
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 25868.4
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 18936.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 18599.6
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 18284.9
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 16166.6
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 15577.9
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 15417.8
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 14803.6
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 11965.8
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 9835.5
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 9696.0
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 9623.0
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 9445.8
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 8839.4
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 8532.2
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 8036.5
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 8029.7
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 8020.9
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 7494.7
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 7206.1
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 6993.5
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 6611.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 6483.7
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 6425.1
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 6255.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 6049.5
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 5994.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 5882.0
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 5744.7
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 5624.4
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 5511.6
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 5226.4
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 5073.0
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 4981.0
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 4912.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 4546.7
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 4345.7
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 4160.2
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 3886.4
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 3735.8
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 3619.0
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 3397.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 3222.9
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 2993.0
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 2795.7
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 2792.9
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 2771.2
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 2732.0
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 2661.3
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 2539.1
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 2526.3
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 2520.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 2462.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 2423.6
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 2379.6
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 2360.3
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 2345.5
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 2319.8
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 2169.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 2121.5
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 2099.2
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 1972.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 1953.0
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1903.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1881.9
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1821.0
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 1762.9
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1739.9
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 1708.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1681.9
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 1675.9
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1675.9
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 1627.3
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 1595.6
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1567.9
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1524.0
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 1507.6
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1482.6
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 1420.5
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 1391.2
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1391.2
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 1374.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1357.2
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1280.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1251.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 1233.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1225.7
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 1202.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1194.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1173.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1135.1
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 1113.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1089.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1064.4
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1058.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 1029.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1024.8
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 990.3
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 986.7
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 972.8
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 933.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 931.5
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 899.6
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 897.9
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 879.6
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 872.1
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 848.2
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 845.0
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 826.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 782.2
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 770.9
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 752.3
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 748.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 741.4
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 735.5
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 709.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 702.8
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 697.3
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 691.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 642.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 640.8
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 611.0
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 602.8
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 598.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 592.8
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 559.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 554.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 551.5
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 550.6
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 524.0
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 508.4
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 499.5
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 495.0
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 477.7
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 473.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 471.7
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 469.7
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 443.6
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 438.4
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 437.8
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 437.0
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 431.3
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 429.7
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 422.0
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 417.3
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 416.4
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 405.0
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 392.6
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 385.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 374.1
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 369.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 359.9
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 348.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 343.0
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 340.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 339.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 338.0
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 335.5
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 335.4
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 332.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 326.2
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 321.0
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 311.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 304.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 294.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 289.8
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 288.2
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 285.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 283.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 283.3
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 282.3
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 274.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 266.2
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 265.8
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 250.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 247.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 246.5
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 246.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 242.1
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 241.9
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 232.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 231.9
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 226.1
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 225.2
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 221.5
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 214.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 213.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 211.0
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 210.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 209.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 189.6
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 187.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 172.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 167.1
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 165.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 154.4
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 153.9
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 152.1
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 151.8
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 149.4
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 148.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 147.3
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 145.3
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 144.0
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 137.0
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 135.4
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 135.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 132.1
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 130.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 126.8
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 123.9
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 116.0
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 115.3
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 113.5
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 113.0
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 110.6
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 110.5
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 110.5
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 107.2
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 103.8
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 103.6
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 102.4
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 101.6
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 98.4
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 97.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 92.5
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 88.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 86.8
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 86.3
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 82.2
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 81.4
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 76.4
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 75.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 74.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 74.2
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 74.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 72.2
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 72.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 71.1
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 69.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 68.9
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 68.7
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 68.1
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 67.1
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 66.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 62.3
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 60.7
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 59.4
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 56.3
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 56.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 52.4
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 51.5
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 50.1
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 49.5
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 49.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 48.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 48.3
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 46.9
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 46.6
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 45.9
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 45.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 45.1
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 43.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 42.5
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 42.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 41.1
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 40.8
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 39.4
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 39.3
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 38.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 35.6
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 34.4
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 34.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 34.2
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 33.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 32.7
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 32.5
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 29.9
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 29.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 29.2
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 28.5
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 28.3
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 28.2
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 27.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 25.5
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 25.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 24.9
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 24.2
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 24.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 23.8
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 23.1
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 23.0
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 22.7
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 21.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 21.2
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 18.2
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 17.9
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 17.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 17.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 17.0
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 16.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 16.4
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 14.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 13.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 13.0
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 12.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 12.0
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 12.0
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 11.4
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 10.8
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 10.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 10.3
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 10.1
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 10.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 9.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 9.1
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 8.3
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 8.3
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 8.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 8.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 7.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 7.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 7.5
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 7.3
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 6.9
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 6.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 5.6
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 5.2
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 5.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 4.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 4.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 4.3
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 3.8
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 3.3
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 3.1
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 3.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 2.7
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 2.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 2.5
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 2.5
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2.4
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 2.3
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 1.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1.4
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1.4
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1.0
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 0.8
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 0.6
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 0.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 0.5
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 0.4
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 0.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 0.3
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 0.3
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 0.1
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 0.0
Show allShow less
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.

SAA1 is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 71.34
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 1818.0
Number of samples 231
Samples
Sample Description pTPM
DO48716 71 years, male, NA, stage:2, alive, 720 days 30935.0
DO50819 72 years, female, NA, stage:2, alive, 510 days 29159.4
DO23544 67 years, male, NA, stage:2, alive, 960 days 15721.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 15615.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 15092.6
DO45094 76 years, male, NA, stage:3, alive, 1650 days 14426.3
DO45125 58 years, male, NA, stage:3, alive, 1680 days 13928.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 13567.9
DO23518 67 years, male, NA, stage:2, alive, 1320 days 12911.3
DO45109 63 years, male, NA, stage:2, alive, 1590 days 11859.3
DO45141 73 years, male, NA, stage:2, alive, 1320 days 10493.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 9901.6
DO45143 69 years, male, NA, stage:3, alive, 1290 days 9176.8
DO45195 62 years, male, NA, stage:1, alive, 390 days 9012.0
DO45091 56 years, male, NA, stage:2, dead, 1320 days 8815.2
DO45257 46 years, male, NA, stage:3, alive, 810 days 8596.1
DO45215 65 years, male, NA, stage:2, alive, 1170 days 8259.1
DO227801 77 years, female, NA, stage:1, alive, 660 days 7838.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 7094.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 6777.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 5946.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 5755.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 5706.1
DO45135 77 years, male, NA, stage:1, alive, 1410 days 5683.1
DO45139 63 years, male, NA, stage:3, alive, 1320 days 5386.3
DO50800 74 years, male, NA, stage:2, alive, 510 days 5202.3
DO48693 71 years, male, NA, stage:2, alive, 900 days 5088.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 4971.1
DO45153 77 years, female, NA, stage:2, alive, 1380 days 4582.7
DO50774 68 years, female, NA, stage:2, alive, 720 days 4099.1
DO23547 74 years, male, NA, stage:1, alive, 1020 days 3987.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 3910.6
DO48742 76 years, male, NA, stage:2, alive, 600 days 3702.9
DO45177 81 years, female, NA, stage:3, alive, 1260 days 3672.0
DO23510 80 years, female, NA, stage:2, alive, 870 days 3406.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 3185.1
DO23549 74 years, male, NA, stage:3, alive, 990 days 3115.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 3055.7
DO45263 67 years, male, NA, stage:3, dead, 270 days 2849.3
DO45167 67 years, male, NA, stage:2, dead, 1440 days 2710.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 2611.6
DO45249 57 years, male, NA, stage:1, alive, 630 days 2585.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 2314.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 2312.3
DO45239 42 years, male, NA, stage:2, alive, 870 days 1945.4
DO48728 74 years, female, NA, stage:2, alive, 150 days 1919.9
DO48679 72 years, male, NA, stage:2, alive, 1200 days 1732.8
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1670.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 1635.2
DO45092 62 years, male, NA, stage:4, dead, 1200 days 1572.9
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1478.3
DO45229 74 years, male, NA, stage:1, alive, 990 days 1410.2
DO50787 63 years, male, NA, stage:3, alive, 480 days 1341.2
DO45111 74 years, male, NA, stage:2, alive, 1590 days 1295.3
DO45273 62 years, male, NA, stage:2, alive, 480 days 1243.0
DO45235 68 years, female, NA, stage:1, alive, 900 days 1241.8
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1155.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 1146.4
DO23543 63 years, male, NA, stage:2, alive, 1020 days 1095.4
DO23535 67 years, male, NA, stage:1, alive, 960 days 1083.6
DO23542 66 years, male, NA, stage:3, alive, 960 days 992.7
DO50822 66 years, male, NA, stage:2, alive, 510 days 955.6
DO23514 64 years, male, NA, stage:2, alive, 1290 days 925.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 921.8
DO45231 84 years, male, NA, stage:2, alive, 930 days 916.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 913.1
DO45179 78 years, female, NA, stage:2, alive, 600 days 908.8
DO48672 81 years, male, NA, stage:2, alive, 450 days 905.7
DO50840 49 years, male, NA, stage:2, alive, 330 days 897.7
DO45211 76 years, male, NA, stage:3, alive, 240 days 874.7
DO45129 61 years, male, NA, stage:3, alive, 1470 days 859.9
DO45099 46 years, male, NA, stage:3, alive, 1590 days 834.5
DO23511 83 years, female, NA, stage:3, dead, 180 days 831.9
DO48741 64 years, male, NA, stage:3, alive, 240 days 823.0
DO50832 73 years, male, NA, stage:3, alive, 90 days 785.9
DO50816 63 years, male, NA, stage:2, alive, 390 days 782.3
DO48747 62 years, male, NA, stage:3, alive, 540 days 750.9
DO45101 63 years, male, NA, stage:2, alive, 1680 days 717.1
DO45191 61 years, female, NA, stage:2, alive, 1200 days 694.6
DO48761 55 years, male, NA, stage:2, alive, 870 days 692.2
DO45199 86 years, female, NA, stage:2, alive, 1350 days 662.7
DO50825 70 years, male, NA, stage:2, alive, 390 days 638.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 627.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 625.0
DO23509 60 years, male, NA, stage:3, dead, 780 days 588.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 580.1
DO45201 49 years, male, NA, stage:1, alive, 900 days 576.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 544.7
DO45223 67 years, male, NA, stage:4, alive, 1020 days 539.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 527.8
DO45221 75 years, female, NA, stage:4, dead, 390 days 513.2
DO48723 73 years, male, NA, stage:1, alive, 600 days 495.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 494.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 493.2
DO45117 73 years, female, NA, stage:2, dead, 1110 days 483.5
DO50807 67 years, male, NA, stage:1, alive, 540 days 478.4
DO45225 69 years, male, NA, stage:1, alive, 1050 days 472.0
DO45149 70 years, female, NA, stage:2, alive, 1260 days 454.3
DO45241 49 years, male, NA, stage:1, alive, 1080 days 419.0
DO48720 62 years, female, NA, stage:2, alive, 570 days 405.4
DO45165 75 years, male, NA, stage:2, alive, 690 days 398.0
DO45115 81 years, male, NA, stage:2, alive, 840 days 385.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 382.2
DO48737 52 years, male, NA, stage:1, alive, 720 days 381.1
DO45197 51 years, male, NA, stage:2, alive, 1170 days 358.2
DO45285 59 years, male, NA, stage:3, alive, 480 days 347.7
DO45261 74 years, male, NA, stage:3, alive, 990 days 337.2
DO45171 56 years, male, NA, stage:3, alive, 600 days 323.7
DO45159 65 years, male, NA, stage:3, alive, 1470 days 321.5
DO50802 49 years, male, NA, stage:2, alive, 930 days 318.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 309.8
DO45305 66 years, male, NA, stage:4, alive, 300 days 304.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 301.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 295.5
DO50818 65 years, male, NA, stage:2, alive, 510 days 294.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 292.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 289.3
DO23517 62 years, male, NA, stage:2, alive, 1200 days 284.2
DO50811 62 years, male, NA, stage:1, alive, 450 days 283.0
DO48712 50 years, male, NA, stage:2, alive, 810 days 280.8
DO45113 58 years, male, NA, stage:3, alive, 1560 days 277.6
DO45161 74 years, male, NA, stage:2, dead, 540 days 270.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 258.4
DO23533 61 years, male, NA, stage:2, alive, 900 days 255.7
DO45173 63 years, male, NA, stage:3, alive, 1170 days 251.5
DO23548 78 years, female, NA, stage:1, alive, 840 days 250.3
DO45255 81 years, male, NA, stage:3, alive, 720 days 245.8
DO48674 80 years, male, NA, stage:2, alive, 1260 days 237.4
DO45233 83 years, male, NA, stage:3, alive, 900 days 230.2
DO45181 84 years, female, NA, stage:2, alive, 1200 days 208.9
DO23532 71 years, female, NA, stage:1, alive, 960 days 207.3
DO45243 74 years, female, NA, stage:3, alive, 930 days 187.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 180.1
DO45265 73 years, male, NA, stage:3, alive, 1020 days 172.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 168.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 165.7
DO45123 78 years, female, NA, stage:2, dead, 570 days 163.2
DO50829 78 years, male, NA, stage:3, alive, 570 days 142.3
DO45185 89 years, male, NA, stage:2, alive, 600 days 141.2
DO23539 77 years, male, NA, stage:1, alive, 1110 days 140.2
DO23540 73 years, male, NA, stage:1, alive, 750 days 138.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 136.5
DO45131 53 years, male, NA, stage:4, dead, 360 days 134.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 133.5
DO50803 62 years, female, NA, stage:1, alive, 540 days 126.8
DO50820 77 years, female, NA, stage:3, alive, 510 days 124.3
DO45227 57 years, female, NA, stage:2, alive, 1020 days 116.3
DO48736 76 years, female, NA, stage:1, alive, 600 days 113.6
DO48730 73 years, female, NA, stage:2, alive, 630 days 107.8
DO48697 64 years, female, NA, stage:2, dead, 810 days 101.3
DO23531 78 years, female, NA, stage:3, alive, 900 days 98.9
DO23526 66 years, male, NA, stage:3, alive, 1050 days 98.6
DO45121 61 years, male, NA, stage:3, alive, 1530 days 97.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 86.3
DO45107 63 years, female, NA, stage:2, alive, 1710 days 82.2
DO45105 61 years, male, NA, stage:1, alive, 1680 days 73.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 69.3
DO23545 67 years, male, NA, stage:2, dead, 570 days 69.3
DO23552 80 years, female, NA, stage:1, alive, 810 days 69.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 69.2
DO23536 56 years, male, NA, stage:2, alive, 930 days 68.0
DO45203 71 years, female, NA, stage:2, alive, 1170 days 62.1
DO45283 60 years, male, NA, stage:3, alive, 510 days 61.5
DO45217 69 years, female, NA, stage:3, dead, 270 days 61.3
DO48717 54 years, male, NA, stage:4, dead, 180 days 61.2
DO50808 68 years, male, NA, stage:2, alive, 570 days 58.4
DO45287 74 years, male, NA, stage:1, alive, 390 days 57.4
DO45097 69 years, male, NA, stage:3, alive, 1620 days 53.6
DO48706 72 years, male, NA, stage:2, alive, 870 days 53.2
DO50817 75 years, male, NA, stage:2, alive, 390 days 52.8
DO23519 65 years, male, NA, stage:3, alive, 630 days 52.3
DO45275 65 years, male, NA, stage:3, dead, 10 days 49.3
DO23515 71 years, male, NA, stage:2, alive, 1230 days 49.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 48.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 42.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 41.9
DO45247 31 years, female, NA, stage:2, alive, 210 days 38.6
DO50789 73 years, female, NA, stage:2, alive, 570 days 37.8
DO48721 58 years, female, NA, stage:1, alive, 900 days 37.2
DO45133 64 years, male, NA, stage:3, dead, 660 days 37.1
DO45245 75 years, female, NA, stage:2, dead, 240 days 36.0
DO50804 81 years, male, NA, stage:2, alive, 720 days 34.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 32.5
DO45163 76 years, male, NA, stage:2, alive, 960 days 31.2
DO45137 38 years, male, NA, stage:1, alive, 1320 days 30.7
DO45183 72 years, female, NA, stage:2, dead, 570 days 29.2
DO48715 58 years, female, NA, stage:2, dead, 690 days 27.6
DO45253 50 years, male, NA, stage:2, alive, 870 days 26.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 25.0
DO50839 47 years, female, NA, stage:3, alive, 330 days 23.7
DO23537 79 years, male, NA, stage:2, dead, 900 days 23.7
DO23508 79 years, female, NA, stage:2, alive, 390 days 22.3
DO23523 52 years, male, NA, stage:3, alive, 1080 days 21.9
DO45279 67 years, male, NA, stage:3, alive, 1290 days 20.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 19.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 19.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 18.8
DO45093 71 years, male, NA, stage:2, dead, 720 days 16.5
DO45297 61 years, female, NA, stage:4, dead, 1260 days 16.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 15.9
DO23538 67 years, male, NA, stage:2, alive, 450 days 14.3
DO48719 80 years, male, NA, stage:2, alive, 690 days 13.5
DO48727 81 years, female, NA, stage:2, dead, 390 days 12.6
DO48695 77 years, male, NA, stage:2, alive, 720 days 12.4
DO45237 58 years, male, NA, stage:2, alive, 900 days 11.7
DO50793 76 years, male, NA, stage:4, alive, 540 days 10.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 6.8
DO45205 67 years, female, NA, stage:2, dead, 90 days 6.5
DO45145 78 years, male, NA, stage:3, dead, 60 days 5.9
DO45187 32 years, female, NA, stage:1, alive, 1260 days 5.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 5.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 5.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 4.3
DO48682 72 years, female, NA, stage:3, dead, 120 days 4.2
DO23516 69 years, male, NA, stage:3, dead, 20 days 4.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 3.9
DO45127 73 years, male, NA, stage:3, dead, 420 days 3.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 3.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 3.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 2.9
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2.8
DO45259 65 years, male, NA, stage:3, alive, 330 days 2.6
DO50844 75 years, male, NA, stage:4, alive, 300 days 2.4
DO48681 57 years, male, NA, stage:2, alive, 900 days 1.7
DO48751 68 years, male, NA, stage:2, dead, 480 days 1.5
DO45193 68 years, female, NA, stage:4, dead, 120 days 1.3
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1.3
DO50785 37 years, male, NA, stage:4, dead, 90 days 1.1
DO45289 78 years, female, NA, stage:3, alive, 360 days 1.1
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1.1
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
937 Tumor 3.2
526 Normal 2.8
327 Tumor 2.7
145 Tumor 2.4
218 Normal 2.3
981 Tumor 2.3
286 Normal 2.3
113 Tumor 2.1
422 Normal 2.0
353 Tumor 2.0
536 Normal 1.9
396 Normal 1.8
195 Tumor 1.7
395 Tumor 1.7
557 Tumor 1.7
217 Tumor 1.7
467 Tumor 1.7
686 Normal 1.6
368 Normal 1.6
228 Normal 1.6
392 Normal 1.5
728 Normal 1.5
446 Normal 1.4
696 Normal 1.3
1015 Tumor 1.3
391 Tumor 1.2
642 Normal 1.1
352 Normal 1.0
187 Tumor 1.0
525 Tumor 1.0
857 Tumor 1.0
191 Tumor 0.9
141 Tumor 0.8
535 Tumor 0.7
1044 Normal 0.7
558 Normal 0.7
665 Tumor 0.6
851 Tumor 0.6
685 Tumor 0.5
938 Normal 0.5
723 Tumor 0.4
1043 Tumor 0.4
421 Tumor 0.4
672 Normal 0.4
498 Normal 0.3
861 Tumor 0.2
223 Tumor 0.2
524 Normal 0.1
375 Tumor 0.1
978 Normal 0.1
514 Normal 0.1
513 Tumor 0.1
447 Tumor 0.1
1026 Normal 0.0
365 Tumor 0.0
755 Tumor 0.0
222 Normal -0.1
913 Tumor -0.1
426 Normal -0.1
351 Tumor -0.1
192 Normal -0.1
451 Tumor -0.1
568 Normal -0.1
488 Normal -0.1
615 Tumor -0.1
984 Normal -0.2
344 Normal -0.2
214 Normal -0.2
376 Normal -0.2
487 Tumor -0.2
196 Normal -0.2
866 Normal -0.2
262 Normal -0.3
574 Normal -0.3
257 Tumor -0.3
261 Tumor -0.3
227 Tumor -0.3
1016 Normal -0.3
722 Normal -0.4
721 Tumor -0.4
267 Tumor -0.4
494 Normal -0.4
491 Tumor -0.4
636 Normal -0.4
982 Normal -0.4
224 Normal -0.4
727 Tumor -0.5
221 Tumor -0.5
328 Normal -0.5
332 Normal -0.5
627 Tumor -0.5
492 Normal -0.5
523 Tumor -0.5
444 Normal -0.5
342 Normal -0.5
213 Tumor -0.6
1046 Normal -0.6
428 Normal -0.6
388 Normal -0.6
518 Normal -0.6
873 Tumor -0.6
114 Normal -0.6
414 Normal -0.6
124 Normal -0.6
354 Normal -0.6
867 Tumor -0.6
714 Normal -0.6
515 Tumor -0.6
573 Tumor -0.6
468 Normal -0.6
423 Tumor -0.7
412 Normal -0.7
466 Normal -0.7
461 Tumor -0.7
448 Normal -0.7
1028 Normal -0.7
394 Normal -0.7
1014 Normal -0.7
713 Tumor -0.7
285 Tumor -0.7
386 Normal -0.7
356 Normal -0.8
1045 Tumor -0.8
142 Normal -0.8
858 Normal -0.8
744 Normal -0.8
232 Normal -0.8
343 Tumor -0.8
415 Tumor -0.8
416 Normal -0.8
126 Normal -0.8
138 Normal -0.8
823 Tumor -0.9
516 Normal -0.9
427 Tumor -0.9
862 Normal -0.9
968 Normal -0.9
868 Normal -0.9
554 Normal -0.9
364 Normal -0.9
538 Normal -0.9
517 Tumor -0.9
977 Tumor -0.9
425 Tumor -0.9
146 Normal -0.9
148 Normal -0.9
393 Tumor -0.9
387 Tumor -1.0
724 Normal -1.0
572 Normal -1.0
482 Normal -1.0
358 Normal -1.0
616 Normal -1.0
563 Tumor -1.0
125 Tumor -1.0
231 Tumor -1.0
666 Normal -1.0
944 Normal -1.0
357 Tumor -1.0
953 Tumor -1.0
111 Normal -1.0
212 Normal -1.0
366 Normal -1.0
641 Tumor -1.1
564 Normal -1.1
954 Normal -1.1
497 Tumor -1.1
137 Tumor -1.1
132 Normal -1.1
136 Normal -1.1
464 Normal -1.1
528 Normal -1.1
617 Tumor -1.1
778 Normal -1.1
983 Tumor -1.1
127 Tumor -1.1
471 Tumor -1.1
955 Tumor -1.1
813 Tumor -1.2
716 Normal -1.2
284 Normal -1.2
112 Tumor -1.2
852 Normal -1.2
695 Tumor -1.2
917 Tumor -1.2
424 Normal -1.2
618 Normal -1.2
546 Normal -1.2
311 Tumor -1.2
413 Tumor -1.2
956 Normal -1.2
432 Normal -1.2
742 Normal -1.2
918 Normal -1.2
698 Normal -1.3
966 Normal -1.3
445 Tumor -1.3
738 Normal -1.3
952 Normal -1.3
671 Tumor -1.3
188 Normal -1.3
443 Tumor -1.3
341 Tumor -1.3
628 Normal -1.3
452 Normal -1.3
314 Normal -1.3
863 Tumor -1.3
128 Normal -1.3
964 Normal -1.3
926 Normal -1.4
433 Tumor -1.4
463 Tumor -1.4
571 Tumor -1.4
385 Tumor -1.4
1013 Tumor -1.4
161 Tumor -1.4
456 Normal -1.4
465 Tumor -1.4
533 Tumor -1.4
814 Normal -1.4
355 Tumor -1.4
864 Normal -1.4
816 Normal -1.4
741 Tumor -1.4
411 Tumor -1.4
363 Tumor -1.4
367 Tumor -1.4
481 Tumor -1.5
662 Normal -1.5
697 Tumor -1.5
824 Normal -1.5
434 Normal -1.5
567 Tumor -1.5
715 Tumor -1.5
874 Normal -1.5
171 Tumor -1.5
1025 Tumor -1.5
943 Tumor -1.5
455 Tumor -1.5
283 Tumor -1.5
123 Tumor -1.6
384 Normal -1.6
963 Tumor -1.6
436 Normal -1.6
162 Normal -1.6
635 Tumor -1.6
185 Tumor -1.6
534 Normal -1.6
818 Normal -1.6
958 Normal -1.6
786 Normal -1.6
147 Tumor -1.6
258 Normal -1.6
186 Normal -1.6
135 Tumor -1.6
462 Normal -1.6
737 Tumor -1.6
1027 Tumor -1.6
172 Normal -1.6
553 Tumor -1.7
312 Normal -1.7
865 Tumor -1.7
474 Normal -1.7
478 Normal -1.7
545 Tumor -1.7
745 Tumor -1.7
785 Tumor -1.7
537 Tumor -1.7
361 Tumor -1.7
383 Tumor -1.7
914 Normal -1.8
664 Normal -1.8
131 Tumor -1.8
484 Normal -1.8
743 Tumor -1.8
313 Tumor -1.8
268 Normal -1.8
976 Normal -1.9
298 Normal -1.9
472 Normal -1.9
916 Normal -1.9
297 Tumor -1.9
815 Tumor -2.0
493 Tumor -2.0
362 Normal -2.0
746 Normal -2.0
435 Tumor -2.0
911 Tumor -2.0
951 Tumor -2.0
431 Tumor -2.0
331 Tumor -2.0
211 Tumor -2.1
756 Normal -2.1
477 Tumor -2.1
663 Tumor -2.1
473 Tumor -2.1
922 Normal -2.1
278 Normal -2.2
648 Normal -2.2
817 Tumor -2.2
271 Tumor -2.2
483 Tumor -2.2
877 Tumor -2.2
915 Tumor -2.2
912 Normal -2.3
924 Normal -2.3
957 Tumor -2.3
1022 Normal -2.3
965 Tumor -2.3
272 Normal -2.3
967 Tumor -2.3
925 Tumor -2.3
777 Tumor -2.4
277 Tumor -2.4
975 Tumor -2.4
527 Tumor -2.5
884 Normal -2.5
921 Tumor -2.7
1042 Normal -2.7
923 Tumor -2.7
647 Tumor -2.8
882 Normal -2.9
883 Tumor -2.9
1032 Normal -2.9
1041 Tumor -3.0
878 Normal -3.0
1021 Tumor -3.0
881 Tumor -3.0
661 Tumor -3.2
1031 Tumor -3.3
Show allShow less
LIVER CANCER - Protein expressioni

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

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

Pending cancer tissue analysis

Contact

  • NEWS ARTICLES
  • PRESS ROOM

The Project

  • INTRODUCTION
  • ORGANIZATION
  • PUBLICATIONS

The Human Protein Atlas

  • DOWNLOADABLE DATA
  • LICENCE & CITATION
  • HELP & FAQ
The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


contact@proteinatlas.org