[Immunohistochemical and molecular pathological diagnosis of lung carcinoma]

Britta Janina Wagner1, Reinhard Buettner2

  • 1Institut für Pathologie, Universitätsklinikum und Centrum für Integrierte Onkologie (CIO) Köln, Kerpener Straße 62, 50937, Köln, Deutschland. britta.wagner@uk-koeln.de.

Der Pathologe
|January 15, 2020
PubMed

Insights

Lung cancer treatment has advanced with targeted therapies like tyrosine kinase inhibitors (TKIs). Efficient diagnostic strategies are crucial for personalized lung cancer classification and patient prognosis, especially with small biopsy samples.

Area of Science:

  • Oncology
  • Pathology
  • Molecular Biology

Background:

  • Lung cancer therapy has seen revolutionary changes in the last 15 years.
  • Targeted therapies, such as tyrosine kinase inhibitors (TKIs), have significantly improved patient prognosis.
  • Ongoing clinical trials are investigating novel inhibitors for MET, KRAS, ROS1, RET, and NTRK.

Purpose of the Study:

  • To provide an overview of efficient and target-oriented diagnostic procedures for lung cancer.
  • To address the challenges faced by pathologists and oncologists in managing diverse therapy options.
  • To guide diagnostic strategies considering the latest clinical trials and advancements in molecular pathology.

Main Methods:

  • Review of current diagnostic procedures in lung cancer.
  • Integration of immunohistochemistry and molecular pathology for precise classification.
  • Consideration of tissue-sparing techniques for small biopsy and cytological samples.

Main Results:

  • Precise lung cancer classification is essential for effective therapy and prognosis.
  • New biopsy technologies yield high-quality but small tissue samples, necessitating strategic diagnostic approaches.
  • Emerging targeted therapies require continuous updates in diagnostic capabilities.

Conclusions:

  • Efficient and strategic diagnostic procedures are vital for optimizing lung cancer patient care.
  • Pathologists and oncologists must stay abreast of evolving targeted therapies and diagnostic technologies.
  • Personalized medicine in lung cancer relies on accurate classification and efficient utilization of limited tissue samples.

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