Clinical trial Recruiting at 1 site Observational Ages 18 to 75

Using ctDNA testing and AI to improve treatment predictions for lung cancer

Official title: Circulating Tumor DNA (ctDNA) Dynamic Monitoring Plus Artificial Intelligence (AI)-Based Pathology Predict the Efficacy of Chemoimmunotherapy in Resectable Lung Squamous Cell Carcinoma (LSCC)

Run by Second Xiangya Hospital of Central South University · NCT05778253 · Data updated 2026-11-12

This study is testing if using blood tests for tumor DNA along with AI can help doctors better predict how well a new treatment works for patients with lung cancer that can be surgically removed.

Quick facts

Study typeObservational
Ages18 Years to 75 Years
SexAll
Enrollment50 (estimated)
SponsorSecond Xiangya Hospital of Central South University
Academic / other
Locations1 site (Changsha, Hunan)
StatusRecruiting
StartedMarch 23, 2023
Main results expectedSeptember 23, 2028
Study endsSeptember 23, 2029
Registry record updatedMarch 21, 2023
Trial IDNCT05778253 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are adults aged 18 to 75 with stage II-IIIb resectable lung squamous cell carcinoma who have not received prior treatment.

Probably not a fit

Patients with unresectable tumors, non-squamous non-small cell lung cancer, or those who have previously received immune checkpoint inhibitors may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to determine if dynamic monitoring of circulating tumor DNA (ctDNA) combined with AI-based pathology can better predict the effectiveness of neoadjuvant chemoimmunotherapy in patients with resectable lung squamous cell carcinoma. It will enroll 50 patients who will undergo whole exon sequencing of biopsy tissues and regular ctDNA testing throughout their treatment. The study will also develop an AI model based on pathological data to enhance treatment guidance. Participants will be followed for at least five years to assess long-term outcomes.

Why it matters

Potential benefit: If successful, this approach could lead to more accurate treatment predictions and improved outcomes for patients with lung squamous cell carcinoma.

How similar studies have gone: While the combination of ctDNA monitoring and AI-based pathology is a novel approach, similar studies have shown promise in improving treatment predictions in oncology.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Histopathology or cytology confirmed the lung squamous cell carcinoma
* Age ranging from 18 to 75
* Agree to participate in this study and sign an informed consent form
* Treatment-naive tumor
* According to the American Joint Committee on Cancer (AJCC) eighth edition of the Lung Cancer Staging Manual, the clinical stage is stage II-IIIb resectable or potentially resectable tumor
* Sufficient tissue/blood samples are available to meet research requirements
* The ECOG PS score is 0-1

Exclusion Criteria:

* Patients who cannot understand the content of the experiment and cannot cooperate, and those who refuse to sign the informed consent form
* Non-squamous NSCLC
* Unresectable IIIa-IIIb tumor
* Patients with solid organ or blood system transplantation
* Previous use of CTLA-4, PD-1, or PD-L1 immune checkpoint inhibitors
* Patients with interstitial lung disease
* Patients with acute or chronic infectious disease
* Pregnant and lactating women
* Patients who have undergone other clinical drug trials

Where it's running

  • Department of Thoracic Surgery, Second Xiangya Hospital of Central South University, China
    Changsha, Hunan, China
    Recruiting

Study contacts

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.