Aristolochic Acid in the Etiology of Renal Cell Carcinoma

Margaret L Hoang1, Chung-Hsin Chen2, Pau-Chung Chen3

  • 1Ludwig Center for Cancer Genetics and Therapeutics and The Howard Hughes Medical Institute at Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland.

Abstract

Insights

Aristolochic acid (AA), a carcinogen found in traditional herbal medicines, is linked to an increased risk of clear cell renal cell carcinoma (ccRCC). This study found AA DNA adducts and mutational signatures in Taiwanese ccRCC patients, supporting its role in kidney cancer development.

Area of Science:

  • Oncology
  • Toxicology
  • Genetics

Background:

  • Aristolochic acid (AA) from Aristolochia species is a known human carcinogen linked to urothelial carcinomas.
  • AA forms DNA adducts, specifically aristolactam (AL)-DNA adducts, in genomic DNA.
  • The potential role of AA in the etiology of clear cell renal cell carcinoma (ccRCC) was investigated.

Purpose of the Study:

  • To determine if aristolochic acid (AA) is an etiologic factor in clear cell renal cell carcinoma (ccRCC).
  • To investigate the association between Aristolochia exposure, AA consumption, and ccRCC incidence.
  • To identify AA-DNA adducts and mutational signatures in ccRCC tumors.

Main Methods:

  • A population-based case-control study in Taiwan involving 5,709 ccRCC cases and 22,836 controls.
  • Analysis of dA-AL-I adducts in kidney DNA from 51 Taiwanese ccRCC patients.
  • Whole-exome sequencing of ccRCC tumors from 10 Taiwanese patients with prior AA exposure.

Main Results:

  • Cumulative AA ingestion >250 mg was associated with increased ccRCC risk (OR, 1.25).
  • dA-AL-I adducts were detected in 76% of Taiwanese ccRCC patients.
  • A distinctive AA mutational signature was found in six of 10 sequenced ccRCC exomes.

Conclusions:

  • The study provides strong evidence that AA contributes to the etiology of certain renal cell carcinomas (RCCs).
  • AA is implicated in a significant proportion of RCC cases in Taiwan.
  • Integrating epidemiologic, molecular, and genetic data is crucial for understanding cancer etiology.