Evaluation of COVID-19 based on ACE2 expression in normal and cancer patients

Peng Ren1, Caifeng Gong2, Shaohua Ma1

  • 1Department of Thoracic Surgery, Peking University Third Hospital, Beijing, 100191, China.

Insights

Angiotensin-converting enzyme 2 (ACE2) is crucial for SARS-CoV-2 entry. While ACE2 expression varies by tissue, its upregulation in cancers like renal and gastrointestinal tumors may influence COVID-19 severity in cancer patients.

Area of Science:

  • Oncology
  • Virology
  • Public Health

Background:

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a significant global health threat.
  • Angiotensin-converting enzyme 2 (ACE2) is identified as the primary receptor for SARS-CoV-2 entry into host cells.
  • The role of ACE2 expression in SARS-CoV-2 susceptibility and the clinical outcomes for cancer patients remain incompletely understood.

Purpose of the Study:

  • To investigate the expression patterns of ACE2 in various normal human tissues and different types of cancer.
  • To analyze the correlation between ACE2 expression levels and SARS-CoV-2 infection susceptibility and severity.
  • To assess the clinical characteristics and outcomes of COVID-19 patients with coexisting malignant tumors.

Main Methods:

  • Analysis of ACE2 expression data across normal tissues and cancer types.
  • Retrospective collection and analysis of clinical data from 3,421 COVID-19 patients, including a subgroup with concurrent cancer.
  • Comparison of severe event rates and clinical symptoms between cancer patients and the general COVID-19 population.

Main Results:

  • Highest ACE2 expression observed in kidneys, duodenum, intestine, gallbladder, and testis; lungs showed low expression.
  • ACE2 expression was upregulated in renal, gastrointestinal, and lung cancers.
  • Malignant tumor patients had a higher rate of severe COVID-19 events (39.02%) compared to the overall patient cohort (10.79%).
  • Clinical symptom severity did not appear directly correlated with ACE2 protein expression levels.

Conclusions:

  • ACE2 expression patterns in normal tissues and cancers may influence SARS-CoV-2 infection dynamics.
  • Cancer patients exhibit a disproportionately higher risk of severe outcomes from COVID-19.
  • Further research is warranted to elucidate the underlying mechanisms and develop targeted therapeutic strategies.

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