Gastric Cancer Clinical Trial
Official title:
Integrated Biomarker Analysis for Hyperthermic Intraperitoneal Chemotherapy(HIPEC) Combined PD1/PDL1 Inhibitor Treatment in Patients of Advanced Gastric Cancer With Peritoneal Metastasis
A single-center, observational study, integrated biomarker analysis of HIPEC combined Programmed cell death 1 /Programmed cell death 1 ligand 1(PD1/PDL1)inhibitor in previously treated patients of advanced gastric cancer with peritoneal metastasis. Tests will be performed on tumor tissue and blood samples, and imaging assessments will be reviewed in order to monitor how well each patient responds to treatment. This is an observational study, so participants will not receive cancer treatment, other than the treatment received as standard of care.
Status | Not yet recruiting |
Enrollment | 46 |
Est. completion date | December 31, 2027 |
Est. primary completion date | March 31, 2025 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years to 75 Years |
Eligibility | Inclusion Criteria: 1. Advanced gastric (gastroesophageal junction) adenocarcinoma confirmed by histology; 2. Age 18-75 years, Male or Non-pregnant female 3. Eastern Cooperative Oncology Group(ECOG): 0~1; 4. Negative for human epidermal growth factor receptor 2(HER-2) by immunocytochemistry or fluorescence in situ hybridization; 5. The presence of gastric cancer peritoneal metastasis is confirmed by laparoscopic exploration, and the PCI=20; 6. Patients had received HIPEC combined with PD1/PDL1 inhibitor conversion therapy. 7. Signed the Informed Consent Form, and blood and tissue samples can be obtained; Exclusion Criteria: 1. Other distal metastases besides peritoneal metastases (e.g., liver, lung, pleural, brain, bone metastases, etc.); 2. Other patients who were considered unsuitable for inclusion by the researchers; |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Affiliated Cancer Hospital & Institute of Guangzhou Medical University |
Leal A, van Grieken NCT, Palsgrove DN, Phallen J, Medina JE, Hruban C, Broeckaert MAM, Anagnostou V, Adleff V, Bruhm DC, Canzoniero JV, Fiksel J, Nordsmark M, Warmerdam FARM, Verheul HMW, van Spronsen DJ, Beerepoot LV, Geenen MM, Portielje JEA, Jansen EPM, van Sandick J, Meershoek-Klein Kranenbarg E, van Laarhoven HWM, van der Peet DL, van de Velde CJH, Verheij M, Fijneman R, Scharpf RB, Meijer GA, Cats A, Velculescu VE. White blood cell and cell-free DNA analyses for detection of residual disease in gastric cancer. Nat Commun. 2020 Jan 27;11(1):525. doi: 10.1038/s41467-020-14310-3. — View Citation
Smyth EC, Gambardella V, Cervantes A, Fleitas T. Checkpoint inhibitors for gastroesophageal cancers: dissecting heterogeneity to better understand their role in first-line and adjuvant therapy. Ann Oncol. 2021 May;32(5):590-599. doi: 10.1016/j.annonc.2021.02.004. Epub 2021 Feb 17. — View Citation
Wang D, Cabalag CS, Clemons NJ, DuBois RN. Cyclooxygenases and Prostaglandins in Tumor Immunology and Microenvironment of Gastrointestinal Cancer. Gastroenterology. 2021 Dec;161(6):1813-1829. doi: 10.1053/j.gastro.2021.09.059. Epub 2021 Oct 2. — View Citation
Type | Measure | Description | Time frame | Safety issue |
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Other | Genetic and transcriptional profiling results. | Mutation and transcriptomic information will be recorded by NGS using AmoyDx® Master Panel, which contains 559 genes for DNA mutation detection and 1813 genes for RNA expression and fusion detection. | From baseline (prior to initiation of conversion therapy) | |
Primary | Relationship between the status, numerical changes of ctDNA during HIPEC combined with PD1/PDL1 inhibitor conversion therapy and postoperative R0 resection rate. | R0 resection rate refers to the proportion of all patients with negative margins under the microscope of tumor specimens after surgery to the total number of participants. To dynamically evaluate the ctDNA profiles by next-generation sequencing and illustrate the genomic changes of ctDNA at baseline, during treatment. | 3 months | |
Secondary | Genomic changes of ctDNA and see if they are predictive of ORR. | Objective response rate(ORR): ORR = (number of subjects with complete response (CR) + partial response (PR))/total number of subjects ×100%. Measurable lesion according to the Response Evaluation Criteria In Solid Tumours(RECISTv1.1). To dynamically evaluate the ctDNA profiles by next-generation sequencing and illustrate the genomic changes of ctDNA at baseline, during treatment. | 3 months | |
Secondary | Genomic changes of ctDNA and see if they are predictive of overall survival time. | Overall survival time(OS) refers to the time of first use of the drug to the time of death. At the end of the study, if the subject is still alive, refer the known "date of last survival of the subject" as the date of censoring. To dynamically evaluate the ctDNA profiles by next-generation sequencing and illustrate the genomic changes of ctDNA at baseline, during and after treatment. | 2 years | |
Secondary | Genomic changes of ctDNA and see if they are predictive of event-Free Survival. | Event-Free Survival(EFS): Defined as the interval between the first conversion therapy and the first recorded related events, including preoperative disease progression, postoperative disease recurrence, and death from any cause. To dynamically evaluate the ctDNA profiles by next-generation sequencing and illustrate the genomic changes of ctDNA at baseline, during and after treatment. | 2 years | |
Secondary | Genomic changes of ctDNA and see if they are predictive of relapse-Free Survival. | Relapse-Free Survival(RFS): Defined as postoperative the first recorded postoperative recurrence of disease or death from any cause. To dynamically evaluate the ctDNA profiles by next-generation sequencing and illustrate the genomic changes of ctDNA at baseline, during and after treatment. | 2 years |
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