Spatial transcriptomics reveal PI3K-AKT and metabolic alterations in aggressive, treatment-resistant lactotroph

Florencia Martinez-Mendoza1, Sergio Andonegui-Elguera1, Ernesto Sosa-Eroza2

  • 1Unidad de Investigación Médica en Enfermedades Endocrinas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México.

Insights

Aggressive lactotroph pituitary neuroendocrine tumors (PitNET) show molecular heterogeneity. Targeting the PI3K/AKT pathway may improve treatment for drug-resistant PitNET.

Area of Science:

  • Endocrinology
  • Oncology
  • Genomics

Background:

  • Clinically aggressive lactotroph pituitary neuroendocrine tumors (PitNET) exhibit rapid growth and resistance to dopamine agonist (DA) treatment.
  • Understanding the molecular basis of this resistance is crucial for developing effective therapies.

Purpose of the Study:

  • To investigate the molecular heterogeneity of DA-resistant lactotroph PitNET.
  • To identify biomarkers associated with tumor aggressiveness and treatment resistance.

Main Methods:

  • Utilized Visium Spatial Transcriptomics (ST), whole transcriptome sequencing (WTS), and whole exome sequencing (WES) on patient tumor samples.
  • Analyzed intratumoral heterogeneity, cell-cell communication, and molecular pathways.
  • Classified tumors based on response to DA treatment (null or partial responders).

Main Results:

  • Significant intratumoral heterogeneity was observed in PitNET, with clones showing alterations in PI3K/AKT and lipid metabolism pathways.
  • FGF-FGFR ligand-receptor interactions and transcription factors RXRA and CREM were identified.
  • No clear differentiation pattern was observed correlating with DA treatment response.
  • WES identified SF3β1 and TP53 variants in a subset of tumors.

Conclusions:

  • The PI3K/AKT pathway is implicated in the aggressiveness and DA resistance of lactotroph PitNET.
  • This pathway represents a potential therapeutic target for aggressive and treatment-resistant PitNET.