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Related Experiment Video

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Author Spotlight: Exploring the Role of FAM83A in Cervical Cancer
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PAX Family, Master Regulator in Cancer.

Erica Giacobbi1, Maria Paola Scioli1, Francesca Servadei1

  • 1Department of Experimental Medicine, TOR, University of Rome "Tor Vergata", 00133 Rome, Italy.

Diagnostics (Basel, Switzerland)
|June 13, 2025
PubMed
Summary
This summary is machine-generated.

Paired box (PAX) proteins are master regulators in organ development and cancer. This review details their structure, roles in various cancers, and significance in cancer diagnosis and treatment.

Keywords:
EMTPAX familycancercell deaththerapy

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Area of Science:

  • Molecular Biology
  • Developmental Biology
  • Oncology

Background:

  • Paired box (PAX) proteins are transcription factors crucial for organ development.
  • PAX proteins are implicated in both the promotion and suppression of tumorigenesis.
  • They regulate essential cellular functions including survival, proliferation, and metastasis.

Purpose of the Study:

  • To review the current understanding of PAX genes and their protein products.
  • To explore the molecular structure, classification, and expression patterns of PAX genes.
  • To examine the roles of PAX proteins in human malignant neoplasms and their clinical significance.

Main Methods:

  • Literature review of PAX genes and their functions.
  • Analysis of PAX gene expression across organ systems.
  • Investigation of PAX protein involvement in tumorigenesis and cancer progression.

Main Results:

  • PAX proteins are classified into four subgroups based on molecular structure.
  • Specific PAX genes exhibit distinct expression patterns in various organs.
  • PAX proteins play diverse roles in major human cancers, influencing diagnosis, prognosis, and treatment prediction.

Conclusions:

  • PAX proteins are critical regulators in both development and cancer.
  • Understanding PAX gene expression and function is vital for cancer research.
  • PAX proteins hold significant potential as diagnostic, prognostic, and predictive biomarkers in oncology.