NCAPH drives breast cancer progression and identifies a gene signature that predicts luminal a tumour recurrence

  • 0Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, Salamanca, Spain.

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Summary

This summary is machine-generated.

A new 10-gene signature, GSLA10, identifies high-risk luminal A breast cancer patients. This discovery aids personalized treatment by predicting recurrence risk and improving patient outcomes.

Area Of Science

  • Oncology
  • Genetics
  • Molecular Biology

Background

  • Luminal A breast cancer has a favorable prognosis but a high 10-year recurrence risk.
  • Early and late recurrences require different treatment strategies.
  • Identifying patients at high risk for recurrence is crucial for effective treatment.

Purpose Of The Study

  • To investigate the role of non-structural chromosome maintenance condensin I complex subunit H (NCAPH) in luminal A breast cancer.
  • To identify an intratumoural gene expression signature associated with elevated NCAPH levels as a marker for unfavorable progression.
  • To develop a predictive tool for patient risk stratification.

Main Methods

  • In vitro and in vivo studies using transgenic mouse models overexpressing NCAPH.
  • Analysis of a genetically diverse mouse cohort.
  • Least absolute shrinkage and selection operator (LASSO) multivariate regression analysis on transcripts associated with elevated NCAPH.
  • Derivation of a 10-gene risk score (GSLA10).

Main Results

  • Elevated NCAPH levels correlate with adverse luminal A breast cancer progression.
  • A 10-gene signature (GSLA10) was developed, associated with unfavorable progression.
  • GSLA10 outperformed the Oncotype DX signature in identifying high-risk tumors across independent human cohorts.
  • High intratumoural Ncaph levels correlated with worse outcomes and poor chemotherapy response.

Conclusions

  • The GSLA10 signature is a promising tool for identifying luminal A breast cancer patients with adverse prognosis.
  • This signature can aid in developing personalized treatment strategies.
  • Improved patient outcomes are anticipated through better risk stratification and tailored therapies.

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