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.
HMGN2
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

  • HMGN2
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

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

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

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

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

& Survival analysisi

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

HMGN2 is validated 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.

: 230.36
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 253.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1000.4
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 887.9
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 841.2
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 826.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 803.2
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 758.8
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 704.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 698.2
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 688.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 661.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 631.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 630.5
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 630.1
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 597.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 596.3
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 594.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 590.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 577.8
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 553.2
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 549.1
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 547.6
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 525.3
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 517.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 511.9
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 510.2
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 509.5
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 489.8
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 487.1
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 486.7
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 485.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 485.2
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 484.8
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 484.7
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 477.3
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 460.5
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 458.7
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 457.0
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 454.7
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 451.5
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 449.7
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 442.5
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 440.4
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 438.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 437.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 433.0
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 431.6
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 411.8
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 411.7
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 400.9
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 397.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 389.9
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 389.9
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 389.3
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 386.5
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 385.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 381.5
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 381.1
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 381.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 380.0
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 378.8
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 376.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 368.8
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 361.0
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 359.8
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 355.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 354.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 354.3
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 353.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 351.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 351.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 350.1
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 349.5
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 349.1
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 348.8
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 348.7
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 345.9
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 336.7
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 336.4
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 331.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 330.3
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 329.9
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 329.1
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 329.0
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 327.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 326.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 324.3
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 324.1
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 323.6
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 320.6
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 320.1
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 319.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 318.8
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 317.6
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 312.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 310.4
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 308.5
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 305.4
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 304.7
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 296.8
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 295.4
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 293.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 293.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 287.7
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 283.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 283.6
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 283.5
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 281.4
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 280.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 279.6
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 279.0
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 277.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 273.2
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 271.1
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 270.4
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 268.9
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 268.6
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 266.4
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 265.7
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 265.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 264.5
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 264.2
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 263.6
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 262.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 261.3
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 261.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 258.2
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 257.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 255.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 250.2
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 249.6
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 248.8
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 247.0
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 245.7
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 244.9
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 240.4
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 240.1
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 238.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 238.0
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 237.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 236.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 236.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 236.0
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 235.7
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 234.3
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 234.2
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 233.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 232.9
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 232.6
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 231.9
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 231.1
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 230.4
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 229.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 229.1
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 228.2
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 227.3
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 227.0
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 224.0
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 223.9
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 223.9
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 223.9
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 223.3
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 222.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 221.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 221.3
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 220.3
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 219.7
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 219.5
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 219.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 219.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 218.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 218.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 216.6
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 216.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 215.8
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 214.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 213.8
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 212.6
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 211.2
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 210.2
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 209.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 209.7
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 209.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 208.8
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 208.5
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 208.3
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 206.7
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 206.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 205.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 205.6
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 202.9
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 202.7
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 200.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 199.4
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 198.7
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 198.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 197.1
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 196.9
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 194.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 193.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 193.2
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 192.5
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 192.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 191.8
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 191.5
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 190.6
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 190.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 190.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 188.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 188.5
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 188.0
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 187.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 186.8
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 186.6
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 186.6
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 186.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 185.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 185.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 185.3
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 183.8
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 183.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 183.3
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 183.1
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 182.5
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 181.8
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 181.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 180.9
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 180.6
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 179.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 179.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 178.9
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 178.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 178.6
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 178.4
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 177.7
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 176.6
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 176.2
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 173.6
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 173.0
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 172.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 170.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 169.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 169.4
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 169.3
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 169.3
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 169.2
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 168.6
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 168.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 168.3
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 168.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 167.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 167.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 166.1
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 165.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 165.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 165.4
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 164.7
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 164.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 163.0
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 161.4
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 161.3
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 161.2
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 160.2
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 158.8
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 158.2
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 158.0
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 157.1
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 156.9
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 154.6
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 154.3
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 153.7
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 153.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 153.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 152.7
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 152.5
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 151.8
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 151.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 151.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 150.5
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 149.7
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 148.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 148.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 147.9
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 147.6
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 147.3
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 147.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 146.8
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 145.7
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 145.5
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 143.5
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 142.3
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 142.1
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 140.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 139.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 138.7
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 138.4
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 137.8
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 137.8
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 137.8
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 137.0
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 136.5
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 134.5
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 132.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 132.6
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 132.2
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 132.2
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 130.8
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 130.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 129.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 126.8
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 126.6
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 126.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 125.5
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 125.1
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 124.1
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 123.9
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 123.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 123.5
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 121.0
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 121.0
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 120.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 120.1
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 119.3
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 118.6
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 115.4
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 114.8
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 113.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 113.2
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 112.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 112.3
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 110.0
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 108.2
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 104.6
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 101.5
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 100.9
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 100.8
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 99.5
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 98.8
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 98.3
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 98.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 97.5
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 97.5
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 97.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 97.0
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 96.9
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 95.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 95.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 93.7
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 92.6
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 92.0
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 92.0
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 85.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 85.0
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 79.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 78.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 76.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 74.1
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 73.9
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 72.0
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 69.8
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 62.5
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 50.2
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 42.2
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.

HMGN2 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 249.36
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 227.4
Number of samples 231
Samples
Sample Description pTPM
DO45185 89 years, male, NA, stage:2, alive, 600 days 724.9
DO50799 66 years, female, NA, stage:2, alive, 540 days 630.1
DO23519 65 years, male, NA, stage:3, alive, 630 days 581.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 576.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 551.1
DO48712 50 years, male, NA, stage:2, alive, 810 days 548.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 543.5
DO45225 69 years, male, NA, stage:1, alive, 1050 days 541.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 517.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 509.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 501.3
DO50815 62 years, male, NA, stage:3, alive, 150 days 490.3
DO45269 59 years, male, NA, stage:3, alive, 750 days 475.7
DO50806 70 years, male, NA, stage:4, alive, 540 days 471.4
DO50829 78 years, male, NA, stage:3, alive, 570 days 466.1
DO45253 50 years, male, NA, stage:2, alive, 870 days 450.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 448.5
DO50809 56 years, male, NA, stage:3, dead, 720 days 447.9
DO45249 57 years, male, NA, stage:1, alive, 630 days 438.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 437.3
DO45307 54 years, female, NA, stage:4, dead, 240 days 437.1
DO48741 64 years, male, NA, stage:3, alive, 240 days 426.8
DO45275 65 years, male, NA, stage:3, dead, 10 days 425.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 418.3
DO45145 78 years, male, NA, stage:3, dead, 60 days 413.3
DO48732 73 years, male, NA, stage:3, alive, 630 days 408.8
DO45237 58 years, male, NA, stage:2, alive, 900 days 406.1
DO23521 63 years, male, NA, stage:3, alive, 1110 days 399.8
DO45273 62 years, male, NA, stage:2, alive, 480 days 398.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 391.8
DO45235 68 years, female, NA, stage:1, alive, 900 days 391.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 388.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 386.7
DO45211 76 years, male, NA, stage:3, alive, 240 days 375.8
DO48717 54 years, male, NA, stage:4, dead, 180 days 372.0
DO23526 66 years, male, NA, stage:3, alive, 1050 days 371.9
DO45209 70 years, male, NA, stage:4, alive, 1350 days 369.1
DO50807 67 years, male, NA, stage:1, alive, 540 days 367.5
DO45267 73 years, male, NA, stage:3, dead, 570 days 362.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 346.4
DO45263 67 years, male, NA, stage:3, dead, 270 days 343.9
DO50798 77 years, male, NA, stage:3, dead, 30 days 339.7
DO23523 52 years, male, NA, stage:3, alive, 1080 days 337.2
DO48757 68 years, female, NA, stage:3, alive, 480 days 332.9
DO45105 61 years, male, NA, stage:1, alive, 1680 days 330.7
DO45277 64 years, male, NA, stage:3, alive, 600 days 330.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 324.0
DO23516 69 years, male, NA, stage:3, dead, 20 days 319.4
DO45093 71 years, male, NA, stage:2, dead, 720 days 318.2
DO45157 62 years, male, NA, stage:2, alive, 1980 days 315.2
DO23509 60 years, male, NA, stage:3, dead, 780 days 310.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 308.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 308.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 306.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 303.5
DO23546 63 years, male, NA, stage:2, alive, 1050 days 295.6
DO50800 74 years, male, NA, stage:2, alive, 510 days 293.2
DO23530 53 years, male, NA, stage:4, dead, 180 days 291.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 285.3
DO45261 74 years, male, NA, stage:3, alive, 990 days 283.2
DO50787 63 years, male, NA, stage:3, alive, 480 days 282.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 282.2
DO50791 79 years, female, NA, stage:1, dead, 480 days 271.9
DO50783 62 years, male, NA, stage:3, alive, 480 days 271.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 268.6
DO45281 83 years, male, NA, stage:4, alive, 750 days 263.2
DO45179 78 years, female, NA, stage:2, alive, 600 days 262.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 260.1
DO23545 67 years, male, NA, stage:2, dead, 570 days 256.7
DO45285 59 years, male, NA, stage:3, alive, 480 days 256.6
DO45231 84 years, male, NA, stage:2, alive, 930 days 256.5
DO50785 37 years, male, NA, stage:4, dead, 90 days 249.9
DO50802 49 years, male, NA, stage:2, alive, 930 days 248.8
DO48695 77 years, male, NA, stage:2, alive, 720 days 246.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 246.4
DO50814 83 years, male, NA, stage:3, alive, 420 days 238.5
DO48720 62 years, female, NA, stage:2, alive, 570 days 238.1
DO45095 66 years, male, NA, stage:2, alive, 1620 days 236.6
DO50818 65 years, male, NA, stage:2, alive, 510 days 236.3
DO23514 64 years, male, NA, stage:2, alive, 1290 days 235.9
DO23547 74 years, male, NA, stage:1, alive, 1020 days 234.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 228.4
DO48737 52 years, male, NA, stage:1, alive, 720 days 227.2
DO23515 71 years, male, NA, stage:2, alive, 1230 days 225.6
DO45251 57 years, female, NA, stage:2, alive, 900 days 224.8
DO45255 81 years, male, NA, stage:3, alive, 720 days 222.8
DO45289 78 years, female, NA, stage:3, alive, 360 days 221.5
DO45193 68 years, female, NA, stage:4, dead, 120 days 221.5
DO50803 62 years, female, NA, stage:1, alive, 540 days 218.9
DO48759 73 years, male, NA, stage:3, alive, 720 days 217.1
DO50817 75 years, male, NA, stage:2, alive, 390 days 215.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 215.4
DO45143 69 years, male, NA, stage:3, alive, 1290 days 214.0
DO48746 76 years, male, NA, stage:3, alive, 570 days 213.7
DO45305 66 years, male, NA, stage:4, alive, 300 days 212.2
DO227801 77 years, female, NA, stage:1, alive, 660 days 210.6
DO45233 83 years, male, NA, stage:3, alive, 900 days 210.1
DO45189 85 years, female, NA, stage:2, alive, 1200 days 209.6
DO45243 74 years, female, NA, stage:3, alive, 930 days 209.3
DO45197 51 years, male, NA, stage:2, alive, 1170 days 209.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 208.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 208.0
DO50805 72 years, male, NA, stage:2, alive, 690 days 207.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 205.9
DO45135 77 years, male, NA, stage:1, alive, 1410 days 205.6
DO45229 74 years, male, NA, stage:1, alive, 990 days 205.6
DO45259 65 years, male, NA, stage:3, alive, 330 days 203.5
DO50819 72 years, female, NA, stage:2, alive, 510 days 203.1
DO23543 63 years, male, NA, stage:2, alive, 1020 days 202.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 201.8
DO45219 78 years, male, NA, stage:2, alive, 1080 days 201.6
DO50813 56 years, male, NA, stage:2, alive, 420 days 201.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 200.7
DO50839 47 years, female, NA, stage:3, alive, 330 days 198.3
DO45199 86 years, female, NA, stage:2, alive, 1350 days 197.8
DO48677 58 years, male, NA, stage:3, alive, 1140 days 197.7
DO50776 75 years, male, NA, stage:1, alive, 690 days 197.1
DO48725 66 years, male, NA, stage:1, alive, 780 days 196.2
DO50855 47 years, male, NA, stage:2, alive, 570 days 195.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 194.1
DO50850 74 years, male, NA, stage:3, alive, 720 days 191.7
DO45103 47 years, male, NA, stage:3, alive, 450 days 190.9
DO50804 81 years, male, NA, stage:2, alive, 720 days 189.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 185.5
DO50844 75 years, male, NA, stage:4, alive, 300 days 184.9
DO50859 77 years, male, NA, stage:2, alive, 180 days 182.5
DO45165 75 years, male, NA, stage:2, alive, 690 days 182.1
DO48751 68 years, male, NA, stage:2, dead, 480 days 181.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 179.4
DO48736 76 years, female, NA, stage:1, alive, 600 days 177.0
DO45153 77 years, female, NA, stage:2, alive, 1380 days 175.2
DO45141 73 years, male, NA, stage:2, alive, 1320 days 174.9
DO45265 73 years, male, NA, stage:3, alive, 1020 days 170.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 170.8
DO45215 65 years, male, NA, stage:2, alive, 1170 days 169.3
DO45096 69 years, male, NA, stage:2, dead, 1290 days 169.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 166.7
DO23540 73 years, male, NA, stage:1, alive, 750 days 166.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 166.3
DO45123 78 years, female, NA, stage:2, dead, 570 days 165.5
DO48693 71 years, male, NA, stage:2, alive, 900 days 164.8
DO45187 32 years, female, NA, stage:1, alive, 1260 days 164.7
DO48704 68 years, female, NA, stage:3, alive, 750 days 163.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 163.3
DO23524 71 years, female, NA, stage:2, alive, 1050 days 163.0
DO48742 76 years, male, NA, stage:2, alive, 600 days 161.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 161.2
DO45181 84 years, female, NA, stage:2, alive, 1200 days 159.3
DO48682 72 years, female, NA, stage:3, dead, 120 days 158.4
DO45213 58 years, male, NA, stage:1, alive, 1200 days 158.3
DO23510 80 years, female, NA, stage:2, alive, 870 days 158.2
DO23542 66 years, male, NA, stage:3, alive, 960 days 154.8
DO23544 67 years, male, NA, stage:2, alive, 960 days 154.4
DO45173 63 years, male, NA, stage:3, alive, 1170 days 153.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 151.2
DO45094 76 years, male, NA, stage:3, alive, 1650 days 149.8
DO45109 63 years, male, NA, stage:2, alive, 1590 days 148.6
DO45131 53 years, male, NA, stage:4, dead, 360 days 147.8
DO48679 72 years, male, NA, stage:2, alive, 1200 days 147.0
DO48761 55 years, male, NA, stage:2, alive, 870 days 145.2
DO45245 75 years, female, NA, stage:2, dead, 240 days 144.3
DO45099 46 years, male, NA, stage:3, alive, 1590 days 144.2
DO45257 46 years, male, NA, stage:3, alive, 810 days 143.6
DO50822 66 years, male, NA, stage:2, alive, 510 days 143.1
DO45183 72 years, female, NA, stage:2, dead, 570 days 141.7
DO45159 65 years, male, NA, stage:3, alive, 1470 days 141.1
DO23518 67 years, male, NA, stage:2, alive, 1320 days 140.9
DO45125 58 years, male, NA, stage:3, alive, 1680 days 138.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 138.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 137.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 136.7
DO45171 56 years, male, NA, stage:3, alive, 600 days 136.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 135.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 132.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 131.9
DO23541 65 years, male, NA, stage:2, alive, 930 days 131.3
DO23529 72 years, male, NA, stage:4, alive, 930 days 131.3
DO45279 67 years, male, NA, stage:3, alive, 1290 days 131.3
DO45247 31 years, female, NA, stage:2, alive, 210 days 130.1
DO50789 73 years, female, NA, stage:2, alive, 570 days 128.8
DO23512 60 years, male, NA, stage:1, alive, 1260 days 128.3
DO50816 63 years, male, NA, stage:2, alive, 390 days 128.3
DO227643 79 years, male, NA, stage:2, alive, 1260 days 127.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 127.4
DO45177 81 years, female, NA, stage:3, alive, 1260 days 126.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 125.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 125.1
DO48723 73 years, male, NA, stage:1, alive, 600 days 124.4
DO45201 49 years, male, NA, stage:1, alive, 900 days 124.1
DO23536 56 years, male, NA, stage:2, alive, 930 days 123.9
DO45239 42 years, male, NA, stage:2, alive, 870 days 122.6
DO50793 76 years, male, NA, stage:4, alive, 540 days 122.0
DO23548 78 years, female, NA, stage:1, alive, 840 days 119.6
DO48700 78 years, female, NA, stage:2, alive, 810 days 118.5
DO45303 62 years, female, NA, stage:3, alive, 990 days 117.9
DO48706 72 years, male, NA, stage:2, alive, 870 days 116.6
DO45121 61 years, male, NA, stage:3, alive, 1530 days 116.4
DO48701 78 years, male, NA, stage:2, alive, 780 days 116.3
DO23531 78 years, female, NA, stage:3, alive, 900 days 115.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 115.2
DO45203 71 years, female, NA, stage:2, alive, 1170 days 114.6
DO23550 69 years, male, NA, stage:1, alive, 990 days 114.1
DO45113 58 years, male, NA, stage:3, alive, 1560 days 113.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 110.3
DO45119 74 years, male, NA, stage:3, dead, 510 days 108.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 107.2
DO50825 70 years, male, NA, stage:2, alive, 390 days 105.9
DO45111 74 years, male, NA, stage:2, alive, 1590 days 105.7
DO45221 75 years, female, NA, stage:4, dead, 390 days 104.7
DO23535 67 years, male, NA, stage:1, alive, 960 days 103.4
DO50845 72 years, male, NA, stage:3, alive, 210 days 103.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 101.2
DO48674 80 years, male, NA, stage:2, alive, 1260 days 100.8
DO23532 71 years, female, NA, stage:1, alive, 960 days 98.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 97.5
DO45115 81 years, male, NA, stage:2, alive, 840 days 94.9
DO23517 62 years, male, NA, stage:2, alive, 1200 days 89.3
DO23528 45 years, female, NA, stage:2, alive, 1020 days 89.1
DO23511 83 years, female, NA, stage:3, dead, 180 days 83.4
DO45101 63 years, male, NA, stage:2, alive, 1680 days 82.8
DO48733 72 years, male, NA, stage:2, alive, 600 days 81.7
DO45191 61 years, female, NA, stage:2, alive, 1200 days 79.3
DO23551 73 years, male, NA, stage:3, dead, 150 days 69.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 67.0
DO45175 74 years, male, NA, stage:2, alive, 1140 days 66.9
DO45227 57 years, female, NA, stage:2, alive, 1020 days 64.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 63.4
DO45107 63 years, female, NA, stage:2, alive, 1710 days 54.2
DO45167 67 years, male, NA, stage:2, dead, 1440 days 48.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 43.9
DO45129 61 years, male, NA, stage:3, alive, 1470 days 40.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
497 Tumor 1.7
695 Tumor 1.5
865 Tumor 1.4
663 Tumor 1.4
493 Tumor 1.3
727 Tumor 1.2
737 Tumor 1.2
481 Tumor 1.2
473 Tumor 1.1
965 Tumor 1.1
357 Tumor 1.1
112 Tumor 1.0
425 Tumor 1.0
355 Tumor 1.0
483 Tumor 0.9
937 Tumor 0.9
533 Tumor 0.9
341 Tumor 0.8
943 Tumor 0.8
487 Tumor 0.8
283 Tumor 0.8
411 Tumor 0.8
545 Tumor 0.8
951 Tumor 0.7
467 Tumor 0.7
883 Tumor 0.7
465 Tumor 0.7
744 Normal 0.7
498 Normal 0.7
477 Tumor 0.7
953 Tumor 0.7
538 Normal 0.7
463 Tumor 0.7
1013 Tumor 0.7
977 Tumor 0.6
1014 Normal 0.6
431 Tumor 0.6
516 Normal 0.6
161 Tumor 0.6
492 Normal 0.6
661 Tumor 0.6
375 Tumor 0.6
515 Tumor 0.6
857 Tumor 0.6
524 Normal 0.6
471 Tumor 0.6
435 Tumor 0.5
741 Tumor 0.5
443 Tumor 0.5
878 Normal 0.5
923 Tumor 0.5
351 Tumor 0.5
966 Normal 0.5
267 Tumor 0.5
984 Normal 0.5
211 Tumor 0.5
478 Normal 0.5
963 Tumor 0.4
917 Tumor 0.4
313 Tumor 0.4
911 Tumor 0.4
525 Tumor 0.4
491 Tumor 0.4
546 Normal 0.4
554 Normal 0.4
527 Tumor 0.4
488 Normal 0.4
513 Tumor 0.4
261 Tumor 0.4
1021 Tumor 0.4
873 Tumor 0.4
685 Tumor 0.4
647 Tumor 0.4
535 Tumor 0.4
938 Normal 0.4
415 Tumor 0.4
954 Normal 0.4
818 Normal 0.4
536 Normal 0.4
958 Normal 0.3
698 Normal 0.3
778 Normal 0.3
343 Tumor 0.3
445 Tumor 0.3
964 Normal 0.3
484 Normal 0.3
975 Tumor 0.3
412 Normal 0.3
814 Normal 0.3
823 Tumor 0.3
924 Normal 0.3
472 Normal 0.3
785 Tumor 0.3
494 Normal 0.3
957 Tumor 0.3
311 Tumor 0.3
858 Normal 0.3
553 Tumor 0.3
277 Tumor 0.3
572 Normal 0.3
461 Tumor 0.3
615 Tumor 0.3
447 Tumor 0.3
364 Normal 0.3
714 Normal 0.3
867 Tumor 0.3
716 Normal 0.3
518 Normal 0.2
882 Normal 0.2
135 Tumor 0.2
863 Tumor 0.2
1015 Tumor 0.2
866 Normal 0.2
1044 Normal 0.2
365 Tumor 0.2
912 Normal 0.2
455 Tumor 0.2
523 Tumor 0.2
1026 Normal 0.2
1045 Tumor 0.2
482 Normal 0.2
385 Tumor 0.2
1041 Tumor 0.2
743 Tumor 0.2
852 Normal 0.2
567 Tumor 0.2
387 Tumor 0.2
1031 Tumor 0.2
721 Tumor 0.2
981 Tumor 0.2
922 Normal 0.2
696 Normal 0.2
127 Tumor 0.2
413 Tumor 0.2
944 Normal 0.2
537 Tumor 0.1
756 Normal 0.1
881 Tumor 0.1
123 Tumor 0.1
746 Normal 0.1
474 Normal 0.1
884 Normal 0.1
968 Normal 0.1
777 Tumor 0.1
427 Tumor 0.1
813 Tumor 0.1
131 Tumor 0.1
824 Normal 0.1
224 Normal 0.1
861 Tumor 0.1
967 Tumor 0.1
952 Normal 0.1
571 Tumor 0.1
448 Normal 0.1
534 Normal 0.1
955 Tumor 0.1
433 Tumor 0.1
816 Normal 0.1
284 Normal 0.1
983 Tumor 0.1
976 Normal 0.1
1042 Normal 0.1
864 Normal 0.1
918 Normal 0.1
686 Normal 0.1
563 Tumor 0.1
916 Normal 0.0
672 Normal 0.0
862 Normal 0.0
926 Normal 0.0
1032 Normal 0.0
874 Normal 0.0
1022 Normal 0.0
915 Tumor 0.0
141 Tumor 0.0
925 Tumor 0.0
978 Normal 0.0
517 Tumor 0.0
913 Tumor 0.0
635 Tumor 0.0
353 Tumor 0.0
528 Normal 0.0
1028 Normal 0.0
1046 Normal 0.0
212 Normal 0.0
171 Tumor 0.0
228 Normal 0.0
328 Normal 0.0
662 Normal 0.0
352 Normal 0.0
185 Tumor 0.0
423 Tumor 0.0
298 Normal 0.0
742 Normal 0.0
514 Normal 0.0
356 Normal -0.1
297 Tumor -0.1
956 Normal -0.1
384 Normal -0.1
137 Tumor -0.1
722 Normal -0.1
877 Tumor -0.1
723 Tumor -0.1
738 Normal -0.1
786 Normal -0.1
231 Tumor -0.1
142 Normal -0.1
223 Tumor -0.1
724 Normal -0.1
462 Normal -0.1
434 Normal -0.1
728 Normal -0.1
285 Tumor -0.1
817 Tumor -0.1
416 Normal -0.1
456 Normal -0.2
396 Normal -0.2
192 Normal -0.2
628 Normal -0.2
332 Normal -0.2
125 Tumor -0.2
1016 Normal -0.2
982 Normal -0.2
421 Tumor -0.2
344 Normal -0.2
428 Normal -0.2
755 Tumor -0.2
921 Tumor -0.2
391 Tumor -0.2
526 Normal -0.2
362 Normal -0.2
272 Normal -0.2
196 Normal -0.2
1027 Tumor -0.2
868 Normal -0.2
568 Normal -0.2
664 Normal -0.2
286 Normal -0.2
636 Normal -0.2
342 Normal -0.2
715 Tumor -0.3
558 Normal -0.3
376 Normal -0.3
257 Tumor -0.3
213 Tumor -0.3
666 Normal -0.3
354 Normal -0.3
574 Normal -0.3
564 Normal -0.3
1025 Tumor -0.3
436 Normal -0.3
671 Tumor -0.3
366 Normal -0.3
914 Normal -0.3
262 Normal -0.3
557 Tumor -0.3
386 Normal -0.3
361 Tumor -0.3
218 Normal -0.3
146 Normal -0.3
128 Normal -0.4
648 Normal -0.4
217 Tumor -0.4
432 Normal -0.4
424 Normal -0.4
188 Normal -0.4
745 Tumor -0.4
617 Tumor -0.4
426 Normal -0.4
268 Normal -0.4
232 Normal -0.4
468 Normal -0.4
446 Normal -0.4
114 Normal -0.4
573 Tumor -0.4
1043 Tumor -0.4
616 Normal -0.4
271 Tumor -0.5
618 Normal -0.5
697 Tumor -0.5
358 Normal -0.5
383 Tumor -0.5
815 Tumor -0.5
312 Normal -0.5
414 Normal -0.5
331 Tumor -0.5
222 Normal -0.5
395 Tumor -0.5
642 Normal -0.5
444 Normal -0.5
665 Tumor -0.5
111 Normal -0.5
195 Tumor -0.5
466 Normal -0.5
851 Tumor -0.6
394 Normal -0.6
124 Normal -0.6
422 Normal -0.6
713 Tumor -0.6
258 Normal -0.6
388 Normal -0.6
221 Tumor -0.6
367 Tumor -0.6
162 Normal -0.6
136 Normal -0.6
186 Normal -0.6
363 Tumor -0.6
113 Tumor -0.6
148 Normal -0.6
451 Tumor -0.6
327 Tumor -0.6
452 Normal -0.6
126 Normal -0.6
214 Normal -0.7
392 Normal -0.7
464 Normal -0.7
314 Normal -0.7
138 Normal -0.7
278 Normal -0.7
627 Tumor -0.7
393 Tumor -0.8
132 Normal -0.8
227 Tumor -0.8
641 Tumor -0.8
191 Tumor -0.9
145 Tumor -0.9
172 Normal -0.9
368 Normal -0.9
187 Tumor -0.9
147 Tumor -1.0
Show allShow less
LIVER CANCER - Protein expressioni

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

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

 

Antibody stainingi

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

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


Antibody CAB018371
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

Contact

  • 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