AI biomarker may reveal who responds to esophageal cancer immunotherapy
NCT ID NCT07745322
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This trial tests whether a new AI-driven biomarker, called the Microbial-Sensory Coupling (MSC) index, can predict how well patients with esophageal squamous cell carcinoma respond to anti-PD-1 immunotherapy. The biomarker measures the spatial relationship between a specific bacterium inside tumors and certain host cells. Researchers will analyze pre-treatment tumor biopsies from 270 patients to see if the MSC index can distinguish responders from non-responders and predict survival outcomes.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- MSC index (a digital pathology biomarker measuring spatial proximity between Campylobacter gracilis and TAAR1+ tumor cells)
- What this could lead to
- If validated, this biomarker could help doctors predict which esophageal cancer patients will benefit from immunotherapy, sparing others from unnecessary side effects.
- What could go wrong
- The trial is early and the biomarker is experimental. It may not accurately predict responses in all patients, and the results may not generalize beyond this specific cancer type.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 270 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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May 2026
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adult patients with histologically confirmed esophageal squamous cell carcinoma (ESCC) who received standard anti-PD-1-based therapy (combined with chemotherapy or as monotherapy) at Beijing Cancer Hospital, retrospectively identified from institutional medical records and pathology archives. The study comprises two retrospective cohorts: a discovery cohort (n=120) used to construct the MSC index model, and an independent validation cohort (n=150) used to validate its predictive performance. Eligible cases are adults (aged 18 years and older) with ECOG performance status 0-1 at treatment initiation, at least one measurable lesion per RECIST 1.1 at baseline, adequate archived pre-treatment FFPE tumor tissue for dual ISH-IF spatial analysis, and complete follow-up data. Cases are included consecutively regardless of sex or ethnicity.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Histologically confirmed esophageal squamous cell carcinoma (ESCC). 2. Received standard anti-PD-1 antibody therapy (e.g., pembrolizumab, camrelizumab, sintilimab, toripalimab) combined with chemotherapy or as monotherapy, with at least one post-treatment response evaluation available. 3. Availability of adequate, high-quality archived pre-treatment tumor tissue biopsies (FFPE blocks or unstained slides) containing sufficient tumor and stromal areas. 4. At least one measurable target lesion according to RECIST 1.1 criteria at baseline. 5. ECOG performance status of 0 or 1 at the initiation of anti-PD-1 therapy. 6. Complete clinicopathological and follow-up data retrievable from medical records. Exclusion Criteria: 1. Histology other than squamous cell carcinoma (e.g., adenocarcinoma, small cell carcinoma). 2. Prior systemic exposure to anti-PD-1, anti-PD-L1, anti-CTLA-4, or other immunotherapy agents. 3. Concomitant systemic antibiotic, antifungal, or antiviral treatment within 14 days prior to tissue biopsy collection. 4. Active autoimmune diseases or psychiatric disorders that prevent compliance. 5. Insufficient tumor tissue specimen for dual ISH-IF spatial analysis.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Peking University Cancer Hospital & Institute
Beijing, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- Can a drug combo stop esophageal cancer from returning after surgery?
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- Two-Drug combo targets esophageal cancer that outsmarted immunotherapy
- Can a Triple-Drug combo shrink esophageal tumors before surgery?