Department of Thoracic Surgery, Second Xiangya Hospital of Central South University, China
Changsha, Hunan, 410011, China
Location status: Recruiting
NCT Number: NCT05778253
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.
Interested in participating?
Request Info18 year–75 year
All sexes
Observational
Changsha, Hunan, 410011, China
Location status: Recruiting
This study is a single-center, observational, non-interventional, prospective study. 50 patients diagnosed with lung squamous cell carcinoma receiving neoadjuvant chemoimmunotherapy (ranging 2 to 4 cycles) will be planned to be enrolled in the study. Pre-treatment biopsy tissues of enrolled patients will be collected for whole exon sequencing (WES) testing, and personalized detection panel will be customized based on WES testing results. Peripheral blood will be collected 1 day before each cycle of neoadjuvant therapy, 1 day before surgery, 3 days after surgery, and 3 weeks after surgery for ctDNA testing. In addition, the prediction model of AI-based pathology will be constructed by AI deep learning based on pathological sections of pre-treatment biopsy tissues. All inclued patients will be regularly followed up for at least 5 years.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
WES and ctDNA detection
Time frame: Up to 1 year
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 2 years
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: From retrospective data collection to algorithm development (6 month)
Development of computer algorithm to identify pCR features
Time frame: From prospective data collection to algorithm validation (6 months)
Validation of computer algorithm to identify pCR features
Time frame: Up to 1 year
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
The proportion of patients achieved complete or patial remission(Imageological) according to RECIST 1.1 prior to definitive surgery.
Time frame: Up to 5 years
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 3 years
Number of participants experiencing perioperative complications will be recorded.
Time frame: Up to 5 years
Health-related Quality of Life will be assessed by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) version 3.0, the EORTC Quality of Life Questionnaire in Lung Cancer (EORTC QLQ-LC13), and the European Quality of Life 5 Dimensions (EQ-5D) questionnaire.
Time frame: Up to 3 years
Perioperative pain evaluation assessed by a numeric rating scale (NRS)
Time frame: Up to 5 years
From the date of surgery to any of the following events: disease progression, disease recurrence or death from any cause.
Time frame: Up to 5 years
From the date of participated in study to the date of death.
Contact information is provided by the study sponsor or research team.
Second Xiangya Hospital of Central South University
Other
Circulating Tumor DNA (ctDNA) Dynamic Monitoring Plus Artificial Intelligence (AI)-Based Pathology Predict the Efficacy of Chemoimmunotherapy in Resectable Lung Squamous Cell Carcinoma (LSCC)
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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