Prediction of Drug Response in Gastric Cancer Based on 3D Bioprinting

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorPeking Union Medical College Hospital

About this trial

The therapeutic regimens for adjuvant and neoadjuvant chemotherapy in gastric cancer (GC) predominantly hinge on clinical experience. Consequently, there is an imperative need for preclinical models to facilitate the guidance of individualized medicine. The investigators plan to establish three-dimensional (3D) bioprinted GC models derived from surgically resected tumor tissues of GC patients. These in vitro 3D models will be subjected to treatment with the identical chemotherapy drugs administered to the corresponding patients from whom the models are sourced. The sensitivity of the chemotherapy drugs will be assayed within the in vitro models, and the actual response to chemotherapy in patients will be meticulously evaluated. This observational study aims to substantiate the potential utility of 3D bioprinted tumor models in prognosticating the response to chemotherapy in GC.

Eligibility criteria

Qualifiers

More than 18 years old

Patients previously diagnosed with gastric cancer or confirmed by pathology as having gastric cancer postoperatively.

Patients who have undergone preoperative imaging examinations, including plain and contrast-enhanced CT scans of the chest, abdomen, and pelvis, as well as gastric MRI for tumor staging, and who are planned for preoperative (neo)adjuvant therapy after multidisciplinary team (MDT) discussion; patients with advanced gastric cancer who are confirmed by postoperative pathology to require (neo)adjuvant therapy.

The patient or their family members are able to comprehend the research protocol and are willing to participate in this study, providing written informed consent.

Disqualifiers

History of other malignancies or serious medical conditions

Inability to provide independent informed consent

Trial design

Treatments tested in this trial

  • surgical resection
  • Adjuvant chemotherapy
  • neoadjuvant therapy

Treatment groups

60 Participants
are divided into 3 treatment groups