The Role of ctDNA Testing Plus AI-based Pathology in Resectable LSCC

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-75
SponsorSecond Xiangya Hospital of Central South University

About this trial

The goal of this observational study is to explore whether ctDNA dynamic monitoring plus AI-based pathology can more effectively predict the therapeutic effect of neoadjuvant chemoimmunotherapy for resectable lung squamous cell carcinoma, so as to accurately guide clinical diagnosis and treatment.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

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

Disqualifiers

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

Trial population

Resectable or potentially resectable stage II-IIIb lung squamous cell carcinoma patients receiving neoadjuvant chemoimmunotherapy

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • WES and ctDNA detection

    Diagnostic test

    WES and ctDNA detection

Treatment groups

50 Participants
are divided into 1 treatment group
Group A: Patients with lung Squamous Cell Carcinoma receiving neoadjuvant chemoimmunotherapy1 intervention

Trial outcomes

Primary outcomes

1

Pathologic completet response (pCR) rate

pCR rate is defined as the percentage of participants having an absence of residual tumor cells in resected lung specimens and lymph nodes following completion of neoadjuvant therapy.

Time frame
Up to 1 year
2

ctDNA resolution

ctDNA resolution is defined as the change or resolution in tumor-derived DNA found in the bloodstream from diagnosis to after neoadjuvant therapy and after surgery, correlated with pathologic complete response (pCR)

Time frame
Up to 2 years
3

Development of computer algorithm to identify pCR features

Development of computer algorithm to identify pCR features

Time frame
From retrospective data collection to algorithm development (6 month)
4

Validation of computer algorithm to identify pCR features

Validation of computer algorithm to identify pCR features

Time frame
From prospective data collection to algorithm validation (6 months)

Secondary outcomes

1

Major pathological response (MPR) rate

MPR rate is defined as the percentage of participants having ≤10% viable tumor cells in the resected primary tumor and resected lymph nodes following completion of neoadjuvant therapy.

Time frame
Up to 1 year
2

Objective response rate(ORR)

The proportion of patients achieved complete or patial remission(Imageological) according to RECIST 1.1 prior to definitive surgery.

Time frame
Up to 1 year
3

Adverse events (AEs)

Number of participants experiencing AEs will be recorded. An AE is defined as any untoward medical occurrence in a clinical study participant, temporally associated with the use of study intervention, whether or not considered related to the study intervention.

Time frame
Up to 5 years
4

Perioperative complications rate

Number of participants experiencing perioperative complications will be recorded.

Time frame
Up to 3 years

Other outcomes

Sponsors and contacts

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