Cervical cancer is most commonly linked to persistent infection with human papillomavirus (HPV). However, clinical experience increasingly suggests that cancer development and progression may be influenced not only by the presence of a single oncogenic virus, but by longer-term viral activity within the body. In some patients, signs of additional or secondary viral persistence — including post-COVID viral signatures — appear to coincide with immune dysregulation and altered disease behavior.

This study explores whether a non-invasive electroacupuncture-based diagnostic method can help identify patterns consistent with viral persistence in patients with cervical cancer. Rather than detecting viral particles directly, the method assesses functional physiological responses that may reflect ongoing viral–host interactions.

The approach is based on measuring electrical properties at standardized acupuncture points. These points are functionally associated with immune-regulatory and chronic viral processes. Changes in their electrical characteristics are thought to reflect adaptive or dysregulated physiological states rather than structural damage. Over the years, this measurement technique has shown reproducible response patterns in patients with viral and post-viral conditions.

In the present study, all participants underwent standardized diagnostic measurements performed under controlled conditions. Importantly, the study is purely observational: no therapeutic interventions, medications, or device implantations are involved. The focus is exclusively on diagnostic signal detection and pattern analysis.

The primary aim is to determine whether specific electrodiagnostic response patterns correlate with evidence of viral persistence in cervical cancer patients. Secondary objectives include assessing measurement repeatability, describing characteristic response profiles within this population, and evaluating whether the method could be feasibly integrated into oncology diagnostic workflows.

By focusing on functional diagnostic signals rather than direct viral detection, this research offers a complementary perspective on viral involvement in the cancer microenvironment. Ultimately, it seeks to contribute to the development of non-invasive tools that may help clinicians better understand persistent viral influences in oncologic disease.