Clinical trial · Interventional
Correlation Between the Efficacy of Neoadjuvant Chemotherapy Combined With Immunotherapy of Operable Thoracic Esophageal Squamous Cell Carcinoma and the Metabolites of Intestinal Flora
NCT05199649CI-TRIAL-00056057unknownN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study collects stool, blood, and tumor tissue samples from patients with locally advanced esophageal cancer after receiving Sintilimab and chemotherapy to explore the efficacy and intestinal microbes of chemotherapy combined with neoadjuvant immunotherapy for locally advanced operable thoracic esophageal squamous cell carcinoma The main purpose is the relationship between its metabolites, and it will also explore the changes of intestinal flora diversity and metabolites before and after esophageal squamous cell carcinoma chemotherapy combined with immune neoadjuvant therapy
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Esophageal Squamous Cell Carcinoma | Esophageal Squamous Cell Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Intestinal Flora | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| SintilimabCombined With Chemotherapy | Drug | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- Arm Sintilimab
- description
- Sintilimab Combined With Chemotherapy
- interventionNames
- Drug: SintilimabCombined With Chemotherapy
Primary outcomes (1)
- measure
- Species and abundance of gut microbiota
- timeFrame
- 2 year
- description
- Alpha-diversity of samples, that measures both the richness and diversity of species within a group, was calculated on taxa that were observed at least once. Beta-diversity, that measures the differences in microbiome composition between groups.
Secondary outcomes (1)
- measure
- Explore the changes of intestinal flora and metabolomics before and after medication
- timeFrame
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 75 Years
Show eligibility criteria text
Inclusion Criteria: * 1\) Age ≥18 years old and ≤75 years old; 2) Patients with stage I\~III thoracic esophageal squamous cell carcinoma diagnosed by histopathological examination (excluding mixed adenosquamous carcinoma and other pathological types); 3) ECOG PS score is 0 or 1; 4) It has sufficient organ and bone marrow function. Exclusion Criteria: 1. Refuse to participate; 2. Patients who have a higher risk of bleeding or perforation due to the tumor's obvious invasion of the adjacent organs (aorta or trachea) of the esophageal lesion, or patients who have formed a fistula; 3. Have previously received anti-PD-1, anti-PD-L1, anti-PD-L2, anti-CD137 or anti-CTLA-4 antibody therapy, or any other antibodies targeting T cell costimulation or checkpoint pathways as specific targets or drug; 4. Participate in another interventional clinical study at the same time, unless participating in an observational (non-interventional) clinical study or in the follow-up phase of an interventional study; 5. Have received systemic systemic treatment with anti-tumor indications Chinese herbal medicine or immunomodulatory drugs (including thymosin, interferon, interleukin, etc.) within 2 weeks before the first administration; 6. Have used immunosuppressive drugs within 1 week before enrollment, excluding nasal spray, inhalation or other local glucocorticoids or physiological doses of systemic glucocorticoids (ie no more than 10mg/day prednisone Or equivalent doses of other glucocorticoids), or use hormones to prevent allergy to contrast agents.
References
Publications (5)
- RESULTLavelle A, Sokol H. Gut microbiota-derived metabolites as key actors in inflammatory bowel disease. Nat Rev Gastroenterol Hepatol. 2020 Apr;17(4):223-237. doi: 10.1038/s41575-019-0258-z. Epub 2020 Feb 19. PMID 32076145
- RESULTWilson AJ, Chueh AC, Togel L, Corner GA, Ahmed N, Goel S, Byun DS, Nasser S, Houston MA, Jhawer M, Smartt HJ, Murray LB, Nicholas C, Heerdt BG, Arango D, Augenlicht LH, Mariadason JM. Apoptotic sensitivity of colon cancer cells to histone deacetylase inhibitors is mediated by an Sp1/Sp3-activated transcriptional program involving immediate-early gene induction. Cancer Res. 2010 Jan 15;70(2):609-20. doi: 10.1158/0008-5472.CAN-09-2327. Epub 2010 Jan 12. PMID 20068171
- RESULTMager LF, Burkhard R, Pett N, Cooke NCA, Brown K, Ramay H, Paik S, Stagg J, Groves RA, Gallo M, Lewis IA, Geuking MB, McCoy KD. Microbiome-derived inosine modulates response to checkpoint inhibitor immunotherapy. Science. 2020 Sep 18;369(6510):1481-1489. doi: 10.1126/science.abc3421. Epub 2020 Aug 13. PMID 32792462
- RESULTFan Y, Pedersen O. Gut microbiota in human metabolic health and disease. Nat Rev Microbiol. 2021 Jan;19(1):55-71. doi: 10.1038/s41579-020-0433-9. Epub 2020 Sep 4. PMID 32887946
- RESULTOcvirk S, Wilson AS, Posma JM, Li JV, Koller KR, Day GM, Flanagan CA, Otto JE, Sacco PE, Sacco FD, Sapp FR, Wilson AS, Newton K, Brouard F, DeLany JP, Behnning M, Appolonia CN, Soni D, Bhatti F, Methe B, Fitch A, Morris A, Gaskins HR, Kinross J, Nicholson JK, Thomas TK, O'Keefe SJD. A prospective cohort analysis of gut microbial co-metabolism in Alaska Native and rural African people at high and low risk of colorectal cancer. Am J Clin Nutr. 2020 Feb 1;111(2):406-419. doi: 10.1093/ajcn/nqz301. PMID 31851298