Epigenetic imprinting bridges infection and lung cancer

The COVID-19 pandemic has highlighted the long-term impact of viral infections on health, yet the impact of SARS-CoV-2 infection on lung cancer development has remained unclear. In a recent study published in Cell, Qian, Wei and colleagues describe an increased risk for the development of lung cancer in patients who suffered from past severe COVID-19. To dissect the mechanisms underlying the epidemiologic evidence, the authors used multiple murine cancer models to demonstrate that respiratory infections, including flu and SARS-CoV-2 infections, remodel the lung tissue microenvironment, leading to an accumulation of neutrophils and immunosuppressive cytokines that promote and sustain a tumor-prone environment. Tumors from previously infected mice contained not only increased numbers of pro-tumorigenic neutrophils but also CD8+ T cells that showed more pronounced signs of immune exhaustion. SARS-CoV-2 vaccination reduced the increase in cancer growth, and blocking neutrophil infiltration combined with immune checkpoint blockade reversed the increase in lung tumor burden. This study demonstrates a long-term molecular memory, or epigenetic imprinting, induced by viral infections in both epithelial and immune cells that can accelerate oncogenesis, and highlights how vaccination protects not only against acute viral infections but also limits the long-term impact of infection on future cancer development.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-13
DOI
https://doi.org/10.1158/0008-5472.can-26-1511
Primary Topic
Immune responses and vaccinations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epigenetic imprinting bridges infection and lung cancer

Axel Kallies, Marie-Liesse Asselin-Labat
Cancer Research
Immune responses and vaccinations
article

Epigenetic imprinting bridges infection and lung cancer

Axel Kallies, Marie-Liesse Asselin-Labat
article en

Abstract

The COVID-19 pandemic has highlighted the long-term impact of viral infections on health, yet the impact of SARS-CoV-2 infection on lung cancer development has remained unclear. In a recent study published in Cell, Qian, Wei and colleagues describe an increased risk for the development of lung cancer in patients who suffered from past severe COVID-19. To dissect the mechanisms underlying the epidemiologic evidence, the authors used multiple murine cancer models to demonstrate that respiratory infections, including flu and SARS-CoV-2 infections, remodel the lung tissue microenvironment, leading to an accumulation of neutrophils and immunosuppressive cytokines that promote and sustain a tumor-prone environment. Tumors from previously infected mice contained not only increased numbers of pro-tumorigenic neutrophils but also CD8+ T cells that showed more pronounced signs of immune exhaustion. SARS-CoV-2 vaccination reduced the increase in cancer growth, and blocking neutrophil infiltration combined with immune checkpoint blockade reversed the increase in lung tumor burden. This study demonstrates a long-term molecular memory, or epigenetic imprinting, induced by viral infections in both epithelial and immune cells that can accelerate oncogenesis, and highlights how vaccination protects not only against acute viral infections but also limits the long-term impact of infection on future cancer development.

Cancer Research
Walter and Eliza Hall Institute of Medical Research (AU), Peter Doherty Institute (AU)
Good health and well-being
Openalex Percentile: Top 19%
Immune responses and vaccinations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.