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Clinical update · 01 of 05

One cancer in eight worldwide is caused by infection

Treat infection prevention as cancer prevention: vaccinate for HPV and hepatitis B, screen the cervix, and test and treat hepatitis and H. pylori where indicated.

Design
Worldwide incidence analysis using population-attributable fractions
Population
Global cancer incidence (GLOBOCAN 2024), 12 Group 1 infectious agents
Primary outcome
New cancer cases attributable to infection
Effect
2.3 million cases (12% of all cancers); H. pylori 760,000, HPV 750,000

This analysis applied population-attributable fractions to GLOBOCAN's 2024 cancer incidence estimates for 12 infectious agents classed as Group 1 carcinogens.

An estimated 2.3 million new cancers in 2024, 12% of the global total, were attributable to infection. Helicobacter pylori accounted for about 760,000 cases and HPV for about 750,000, followed by hepatitis B (360,000), Epstein–Barr virus (260,000) and hepatitis C (160,000). Eastern Asia carried 42% of the burden; age-standardised rates were also above the global average in sub-Saharan Africa, central and eastern Europe and south-eastern Asia.

These cancers are among the most preventable. For Indian practice, the relevant levers are HPV vaccination and cervical screening, hepatitis B vaccination and treatment, and testing and treating H. pylori where gastric cancer risk is high.

  • Recommend HPV vaccination for eligible girls and young women and support cervical screening.
  • Check hepatitis B vaccination status and offer vaccination to unprotected adults.
  • Test for and treat chronic hepatitis B and C; both cause liver cancer.
  • Consider H. pylori testing and eradication in people at raised gastric cancer risk.
  • Screen people with HIV for associated cancers, including cervical and anal cancer.

Why it matters

A large share of cancer burden has prevention tools that already exist and are underused.

The statistics, in plain English

A population-attributable fraction estimates how many cancers would not occur if an infection were eliminated. These are modelled estimates built on incidence data and assumed risk relationships, so they are approximate.

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