Dissecting histological transformation

Ethan M Earlie1, Eric E Gardner2, Harold Varmus3

  • 1Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA; Department of Systems & Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.

Trends in Cancer
|March 27, 2026
PubMed

Insights

Cancer can adapt and change into a new type, called histological transformation (HT), especially after targeted therapy. This adaptive cancer is hard to treat and may spread, requiring new research methods.

Area of Science:

  • Oncology
  • Cancer Biology
  • Translational Medicine

Background:

  • Cancer's adaptive nature poses a significant challenge to achieving lasting treatment success.
  • Histological transformation (HT) involves a cancer changing into a distinct tumor type, often post-targeted therapy.
  • HT cancers are refractory to initial treatments, may exhibit increased metastatic potential, and are poorly understood.

Purpose of the Study:

  • To highlight the growing clinical challenge of histological transformation (HT) in cancer.
  • To emphasize the need for advanced research tools to study HT.
  • To propose leveraging modern experimental and analytical techniques to better understand and manage HT cancers.

Main Methods:

  • This study proposes the use of modern experimental and analytical tools.
  • Focus on dissecting the phenomena of histological transformation.
  • Leveraging advanced techniques to study treatment-resistant cancers.

Main Results:

  • Histological transformation (HT) results in cancers that are no longer driven by the initial oncogenic pathway.
  • These transformed cancers are therapeutically recalcitrant and often highly metastatic.
  • Current understanding of HT is limited due to technical difficulties in studying the process.

Conclusions:

  • Histological transformation represents a critical mechanism of therapeutic resistance in cancer.
  • Advancements in experimental and analytical tools offer a promising avenue for future research.
  • Improved understanding of HT is essential for developing effective clinical management strategies for adaptive cancers.