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Active, not recruitingNCT07745322Updated Aug 4, 2026

Spatial MSC Index for Predicting Anti-PD-1 Efficacy in Esophageal Cancer

An observational study in Esophageal Squamous Cell Carcinoma and Esophageal Neoplasms, sponsored by Peking University Cancer Hospital & Institute. Active, not recruiting at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-08-04.

Sponsored by Peking University Cancer Hospital & Institute · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
270
Ages
18 Years and older
Sex
All
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Study summary

The intratumoral microbiota is a key modulator of the tumor immune microenvironment. This study aims to clinically validate a novel, AI-driven digital pathology biomarker-the Microbial-Sensory Coupling (MSC) index-which measures the spatial proximity between the intratumoral bacterium Campylobacter gracilis(C. gracilis) and host Trace Amine-Associated Receptor 1 (TAAR1)+ tumor cells. The study will evaluate whether the MSC index, measured in pre-treatment tumor biopsy tissues, can accurately predict clinical responsiveness and survival outcomes in ESCC patients undergoing anti-PD-1-based immunotherapy.

Read the detailed description

Emerging evidence indicates that C. gracilis secretes a unique xenometabolite, cadaverine, which binds to and activates the host TAAR1 receptor on ESCC cells, thereby promoting tyrosine kinase FAK-dependent secretion of the chemokine and cytokine. This pathway orchestrates immune cells, leading to resistance to anti-PD-1 therapy.

This retrospective observational study employs multiplexed fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC) / multiplex immunofluorescence (mIF), combined with deep-learning-based image segmentation, to quantify the spatial relationship between C. gracilis and TAAR1+ tumor cells.

The study consists of two phases:

  1. Discovery Phase (Cohort A, n=120): To establish the mathematical model of the MSC index and determine the optimal cut-off value using ROC analysis.
  2. Validation Phase (Cohort B, n=150): An independent retrospective cohort to validate the predictive specificity, sensitivity, and clinical utility (PFS, OS, and ORR) of the pre-determined MSC index cut-off.
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Conditions studied

  • Esophageal Squamous Cell Carcinoma
  • Esophageal Neoplasms
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In context

Esophageal Squamous Cell Carcinoma

646 studies on the registry are indexed under Esophageal Squamous Cell Carcinoma; 275 are open to participants now.

This study's planned enrollment of 270 is close to the median of 270 across 93 observational studies indexed under Esophageal Squamous Cell Carcinoma.

Browse Esophageal Squamous Cell Carcinoma studies →

Lead sponsor

Peking University Cancer Hospital & Institute is the lead sponsor of 261 studies on the registry; 128 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

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.

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

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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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
270 participants (estimated)
Patient registry
No

Groups and cohorts

  • Discovery Cohort (Model Development, Retrospective)

    This retrospective cohort includes 120 ESCC patients who received anti-PD-1-based therapy. Archived pre-treatment FFPE biopsy specimens are retrieved and used to establish the MSC index mathematical model via multiplexed FISH and mIF combined with deep-learning image segmentation. ROC analysis is applied to determine the optimal diagnostic cut-off value for predicting anti-PD-1 responsiveness.

  • Validation Cohort (Independent, Retrospective)

    This independent retrospective cohort includes 150 ESCC patients who received anti-PD-1-based therapy, identified from a non-overlapping case series. Archived pre-treatment FFPE biopsy specimens are used to validate the pre-determined MSC index cut-off value for its predictive specificity, sensitivity, and clinical utility in distinguishing immunotherapy responders from non-responders, as well as its association with PFS and OS.

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What researchers measure

Primary outcomes

  1. Objective Response Rate (ORR)

    Percentage of patients achieving Complete Response (CR) or Partial Response (PR) based on RECIST 1.1 criteria, compared between MSC-high and MSC-low groups.

    Time frame: Up to 12 months from the first dose of anti-PD-1 therapy

Secondary outcomes

  1. Diagnostic Accuracy (AUC)

    Calculated using ROC analysis to evaluate the capability of the MSC index to discriminate between immunotherapy responders (CR/PR) and non-responders (SD/PD).

    Time frame: Up to 12 months from the first dose of anti-PD-1 therapy (best overall response assessment)

  2. Progression-Free Survival (PFS)

    Time from the first dose of anti-PD-1 therapy to the date of objective disease progression or death from any cause, whichever occurs first.

    Time frame: Up to 24 months

  3. Overall Survival (OS)

    Time from the first dose of anti-PD-1 therapy to the date of death from any cause.

    Time frame: Up to 36 months

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Study locations

1 site
  • Peking University Cancer Hospital & Institute
    Beijing, China
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07745322
Lead sponsor
Peking University Cancer Hospital & Institute
Responsible party
Sponsor
First posted
Aug 4, 2026
Start date
May 20, 2026
Primary completion
Dec 31, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Aug 4, 2026

Study contacts

Jie Chen
principal investigator · Peking University Cancer Hospital & Institute

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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