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Purpose <p>This study reports on the results from our data-driven approach that identified perturbations in neuroactive ligand-receptor interaction and renin-angiotensin system (RAS) pathways in oncology patients with and without self-reported cancer-related cognitive impairment (CRCI).</p> Methods <p>In a sample of oncology patients receiving chemotherapy (<i>n</i> = 1343), the Attentional Function Index (AFI) was used to assess CRCI. Patients were grouped into low (AFI score of &lt; 5) versus high (AFI score of &gt; 7.5) levels of cognitive function. Gene expression analyses were done using RNA-seq (<i>n</i> = 185) and microarray (<i>n</i> = 158) technologies. Pathway impact analysis was used to evaluate for perturbations in biological pathways associated with self-reported CRCI.</p> Results <p>The combined pathway impact analysis revealed that the neuroactive ligand-receptor interaction and RAS pathways were significantly perturbed between the patients with low versus high AFI scores.</p> Conclusions <p>Findings from this study suggest that in addition to inflammatory pathways, numerous mechanisms may contribute to the underlying mechanisms for the development and/or persistence of self-reported CRCI.</p>

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Perturbations in the neuroactive ligand-receptor interaction and renin angiotensin system pathways are associated with cancer-related cognitive impairment

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月6日

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  • Raymond J. Chan,
  • Adam Walker,
  • Janette Vardy,
  • Alexandre Chan,
  • Kate Oppegaard,
  • Yvette P. Conley,
  • Steven M. Paul,
  • Kord M. Kober,
  • Carolyn Harris,
  • Joosun Shin,
  • Lisa Morse,
  • Ritu Roy,
  • Adam Olshen,
  • Marilyn J. Hammer,
  • Jon D. Levine,
  • Christine Miaskowski

摘要

Purpose

This study reports on the results from our data-driven approach that identified perturbations in neuroactive ligand-receptor interaction and renin-angiotensin system (RAS) pathways in oncology patients with and without self-reported cancer-related cognitive impairment (CRCI).

Methods

In a sample of oncology patients receiving chemotherapy (n = 1343), the Attentional Function Index (AFI) was used to assess CRCI. Patients were grouped into low (AFI score of < 5) versus high (AFI score of > 7.5) levels of cognitive function. Gene expression analyses were done using RNA-seq (n = 185) and microarray (n = 158) technologies. Pathway impact analysis was used to evaluate for perturbations in biological pathways associated with self-reported CRCI.

Results

The combined pathway impact analysis revealed that the neuroactive ligand-receptor interaction and RAS pathways were significantly perturbed between the patients with low versus high AFI scores.

Conclusions

Findings from this study suggest that in addition to inflammatory pathways, numerous mechanisms may contribute to the underlying mechanisms for the development and/or persistence of self-reported CRCI.