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Correlation of histological immunophenotype in papillary renal cell carcinoma with gene signatures related to the therapeutic effect of systemic therapy

  • 0Department of Pathology, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan.
Pathology, Research and Practice +

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December 17, 2024

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December 17, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Histological immunophenotypes in papillary renal cell carcinoma (pRCC) correlate with poor prognosis and gene signatures. The 4-tier immunophenotype shows the strongest correlation, offering potential predictive biomarkers for pRCC treatment decisions.

Area Of Science

  • Oncology
  • Pathology
  • Immunology

Background

  • Comprehensive tumor microenvironment analysis is crucial for predicting systemic therapy response in papillary renal cell carcinoma (pRCC).
  • Previous studies utilized immunohistochemistry and RNA sequencing for pRCC microenvironment characterization.
  • Identifying reliable histological biomarkers is essential for guiding treatment decisions.

Purpose Of The Study

  • To evaluate the correlation between hematoxylin and eosin (H&E)-based histological immunophenotypes and gene signatures predictive of treatment response.
  • To compare the predictive ability of three distinct histological immunophenotype methodologies in pRCC.
  • To identify potential histological biomarkers for predicting therapeutic response in pRCC.

Main Methods

  • Utilized data from the Cancer Genome Atlas (TCGA)-KIRP cohort (n=254).
  • Evaluated tumor-associated immune cells (TAICs) using three methodologies: 3-tier (spatial distribution), 4-tier (location and degree), and inflammation score (degree only).
  • Compared the predictive performance of the three immunophenotypes against gene signatures and clinicopathological factors.

Main Results

  • Histological immunophenotypes in pRCC correlated with adverse clinicopathological factors (stage, grade, sarcomatoid changes).
  • Significant correlations were observed with gene signatures related to angiogenesis, T effector cells (Teff), myeloid cells, and immune checkpoints.
  • The 4-tier immunophenotype demonstrated the strongest correlation with gene signatures compared to the other two methods.
  • Histological immunophenotypes were associated with a poorer prognosis.

Conclusions

  • The 4-tier histological immunophenotype shows significant potential as a predictive biomarker in pRCC.
  • This methodology may aid in guiding treatment decisions for patients with pRCC.
  • H&E-based immunophenotyping offers a valuable tool for assessing the tumor microenvironment and predicting treatment outcomes in pRCC.

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