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A Comprehensive Review of Protein Biomarkers for Invasive Lung Cancer.

Alexandre Mezentsev1,2, Mikhail Durymanov1, Vladimir A Makarov1

  • 1Medical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, 173003 Veliky Novgorod, Russia.

Current Oncology (Toronto, Ont.)
|September 27, 2024
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Summary

Discovering new protein biomarkers for lung cancer invasiveness is crucial for early diagnosis and improved patient survival. This review explores current biomarkers and proposes novel candidates for minimally invasive detection.

Keywords:
biomarkerintegrinsinvasivenesslung cancerlysyl oxidasesnon-canonical MAPKsperiostinpolo-like kinasesprolyl 4-hydroxylases

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Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Lung cancer metastasis significantly impacts patient survival, necessitating early diagnostic tools.
  • Identifying biomarkers specific to lung cancer invasiveness remains a challenge.
  • Current protein biomarkers often lack specificity or are not directly linked to cell invasiveness.

Purpose of the Study:

  • To review the advantages and limitations of existing protein biomarkers for lung cancer invasiveness.
  • To evaluate the prognostic value of current lung cancer biomarkers.
  • To propose novel biomarker candidates for early detection and management.

Main Methods:

  • Literature review of existing studies on lung cancer protein biomarkers.
  • Analysis of gene expression changes associated with invasive phenotypes.
  • Assessment of diagnostic and prognostic values of identified biomarkers.

Main Results:

  • Existing protein biomarkers for lung cancer often lack specificity and are involved in general tumorigenesis or cell division.
  • A need exists for novel biomarkers that accurately reflect metastatic potential.
  • Unconventional biomarkers like circulating nucleic acids and exosomal proteins show promise.

Conclusions:

  • There is a critical need for novel, specific protein biomarkers for lung cancer invasiveness.
  • Future research should focus on minimally invasive detection methods.
  • Exploring unconventional biomarkers may lead to improved diagnostic and prognostic tools for lung cancer.