Predictive and Prognostic Value of DNA Damage Response Associated Kinases in Solid Tumors

Mariam Gachechiladze1, Josef Skarda1, Katerina Bouchalova2

  • 1Department of Clinical and Molecular Pathology, Institute of Translational and Molecular Medicine, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czechia.

Frontiers in Oncology
|November 23, 2020
PubMed

Insights

Cancer cells

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Cancer is characterized by dysfunctional DNA repair, leading to genome instability and high mutational burden.
  • Increased DNA repair capacity in tumors causes resistance to therapies like chemotherapy, radiotherapy, and targeted drugs (PARP, ATM, ATR, Wee1 inhibitors).
  • DNA repair deficiency can increase sensitivity to certain drugs, enhance mutagenicity, and improve responses to immunotherapies (CTLA4, PD-(L)1).

Purpose of the Study:

  • To review the role of DNA damage response (DDR) pathways in cancer.
  • To focus on major DDR-associated kinases: ATM, ATR, CHK1, CHK2, and WEE1.
  • To discuss the prognostic and predictive value of these kinases in solid tumors.

Main Methods:

  • Review of existing literature on DNA damage response (DDR) pathways.
  • Focus on key kinases involved in DNA double-strand break (DSB) repair.
  • Analysis of clinical evidence supporting DDR kinases as biomarkers.

Main Results:

  • DNA damage response (DDR) involves sensing, signaling, and repair pathways, crucial for cancer cell survival and treatment resistance.
  • ATM-CHK2 and ATR-CHK1-WEE1 pathways are central to initiating DNA DSB repair.
  • Clinical evidence highlights DDR kinases as significant predictive and prognostic biomarkers in cancer patients.

Conclusions:

  • Dysfunctional DNA repair is a hallmark of cancer, influencing treatment resistance and immunogenicity.
  • Key DDR kinases (ATM, ATR, CHK1, CHK2, WEE1) play critical roles in managing DNA double-strand breaks (DSBs).
  • These DDR kinases hold significant potential as biomarkers for predicting treatment response and patient prognosis in solid malignancies.

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