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Updated: Jun 18, 2026

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
07:47

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Multi-omics analysis positions DNA2 at the interface of genome integrity programs and tumor behavior in pan-cancer

Depanshi Pandit1,2, Amardeep Dhillon2, Sanjiban Chakrabarty3

  • 1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Functional & Integrative Genomics
|June 17, 2026
PubMed

Insights

This study reveals DNA2

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • DNA2 is crucial for cell-cycle progression but linked to cancer survival under replication stress.
  • No comprehensive pan-cancer analysis of DNA2's role has been performed.

Purpose of the Study:

  • To conduct the first pan-cancer multi-omics investigation of DNA2.
  • To explore DNA2's association with cancer progression, immune infiltration, and drug response.

Main Methods:

  • Utilized TCGA cohorts and public databases for multi-omics analysis.
  • Examined transcriptomics, genomics, survival data, immune infiltration, single-cell states, PPI networks, and pharmacogenomics.
  • Analyzed DNA2 expression, genetic variations, and survival outcomes across diverse tumor types.

Main Results:

  • DNA2 is overexpressed in 17 cancer types and associated with poor survival in several malignancies.
  • Elevated DNA2 correlates with DNA damage, angiogenesis, and proliferation, and influences immune cell infiltration (e.g., T-regulatory cells, NK cells).
  • Higher DNA2 expression predicts sensitivity to Tozasertib and Daporinad, identifying it as a potential therapeutic target.

Conclusions:

  • DNA2 is a significant therapeutic vulnerability and context-dependent biomarker in cancer.
  • DNA2's role impacts cancer prognosis, treatment response, and the tumor immune microenvironment.
  • Findings support targeting DNA2 for novel cancer therapies.
Keywords:
DNA2Muti-omicsOnco-immunologyPan-cancerRNA-seqReplication stress

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