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This study investigates how HMGB1 compartmentalisation and O-GlcNAcylation regulate inflammatory signalling, autophagy, and immune escape in cancer. Our research focuses on HMGB1, a key mediator of inflammation and immune regulation. Because extracellular HMGB1 and related cytokines are detectable in blood, circulating plasma biomarkers may serve as systemic surrogates of tumour-immune microenvironment (TIME) biology.
Spatial profiling technologies-such as multiplex immunofluorescence (mIF) and GeoMx Digital Spatial Profiling (DSP)-enable precise mapping of HMGB1 localisation, O-GlcNAcylation status, and immune cell organisation within tumour tissues. Integrating these spatial tissue features with plasma cytokine signatures provides a mechanistic and clinically translatable approach for recurrence prediction. This study aims to determine whether baseline and early-on-treatment plasma cytokine profiles can predict recurrence in patients with esophageal squamous cell carcinoma (ESCC), and to evaluate how these circulating immune mediators correspond to spatially resolved TIME features.
Esophageal squamous cell carcinoma (ESCC): Esophageal cancer ranks 4th in mortality rates in all cancer types in Mainland China [1], with the Greater Bay Area showing above-than-average mortality rates. The Chaoshan area in the Guangdong province shows one of the most significant incidence and mortality rates worldwide [2]. In Hong Kong, it is one of the top 10 deadliest cancer types (Hong Kong Cancer Registry Cancer Statistics of 2019). ESCC is the prevalent subtype of esophageal cancer in these areas and most parts of Asia. It is highly aggressive, with a dismal five-year survival rate of 10~20%. Chemoradiotherapy (CRT) and chemotherapy (CT) remain the Standard of Care (SOC) treatment regimens in addition to surgery [3]. In brief, after imaging, endoscopic examination, and patient assessment, ESCC patients may undergo esophagectomy, neoadjuvant CRT/CT followed by esophagectomy, or palliative CT without surgery.
However, ESCC often resists therapy. Resistance to death is a hallmark of cancer, contributing to progression and treatment failure. Damage-associated molecular patterns (DAMPs) released by stressed or dying cells play dual roles: they can stimulate antitumor immunity during immunogenic cell death, but also promote tumour growth by sustaining inflammation and impairing immune surveillance. Among DAMPs, high mobility group box 1 (HMGB1) is a key regulator of cancer-related inflammation and immuneescape1. HMGB1's function is compartment-specific: nuclear HMGB1 maintains genomic integrity, cytoplasmic HMGB1 promotes autophagy and survival, and extracellular HMGB1 activates pro-inflammatory signal via receptors such as RAGE and TLRs, leading to tumour cell survival, proliferation, and angiogenesis [4]. Elevated HMGB1 levels correlate with poor prognosis in multiple cancers [5-8]. Despite its clinical relevance, the mechanisms regulating HMGB1 localisation and activity remain poorly understood, positioning it as an underexplored molecular switch in tumour-immune dynamics.
OGlcNAcylation is a type of intracellular glycosylation- a nutrient-sensitive post-translational modification (PTM) that regulates protein function, stability, localisation and interactions with other cellular proteins. Catalyzed by O-GlcNAc transferase (OGT) and reversed by OGlcNAcase (OGA) [9], this modification affects thousands of intracellular proteins and is elevated across multiple cancer types. HMGB1 activity is tightly controlled by PTMs. These PTMs act like molecular switches, regulating its translocation and secretion. Under basal conditions, Beclin1-a key autophagy regulator- is sequestered by Bcl-2 and remains inactive. Under stress, HMGB1 translocates to the cytoplasm and binds to Beclin, displacing Bcl-2 and triggers autophagy [10]-a survival mechanism often hijacked by tumour cells. Recent studies show HMGB1 can be modified by O-GlcNAcylation [11] and O-GlcNAcylated at serine 100, weakens its DNA-binding and enhance oligomerisation [12], potentially stabilising it in the cytoplasm and reinforcing autophagy. This autophagy-promoting axis known to intersect with TBK1, a key kinase involved in stress response and immune pathways. Therefore, how does HMGB1 O-GlcNAcylation influence its subcellular localization, protein-protein interactions (interactome), and does this modulation associate with changes in immune cell positioning or clustering within ESCC tumours? Can these features serve as clinically relevant biomarkers or be leveraged for therapeutic targeting? Blood based biomarkers that mirror TME biology would be practical tools for recurrence prediction and disease monitoring in ESCC, complementing tissue based features is clinically needed. We aim to evaluate whether baseline and early on treatment plasma cytokine signatures can predict recurrence in ESCC patients and to determine how these circulating immune mediators correspond to spatially resolved TIME features.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study Group | This study will enroll one single cohort of ESCC patients, who will undergo specimen collection at predefined clinical timepoints corresponding to major disease stages: (1) Baseline at diagnosis, (2) On-treatment, and (3) At recurrence or metastasis. All participants are governed by the same inclusion and exclusion criteria. Data are analyzed longitudinally for patients who contribute specimens across multiple timepoints. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| specimen collection | Other | Participants will contribute samples at one or more of the following clinically defined stages: Timepoint 1 - Baseline (diagnosis / pre-treatment) Specimens:
Timepoint 2 - On-Treatment (early treatment) Specimens:
Timepoint 3 - Recurrence / metastasis Specimens:
|
| Measure | Description | Time Frame |
|---|---|---|
| Recurrence-Free Survival (RFS) | Recurrence-free survival is defined as the time from diagnosis to the first documented recurrence of esophageal squamous cell carcinoma (ESCC). This outcome will be analysed in relation to baseline and early on-treatment plasma biomarkers, including cytokines, chemokines, and DAMP-related markers, to evaluate their prognostic value in predicting recurrence risk. | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Correlations between circulating markers and spatial TME features; integrated prognostic performance (clinical vs blood vs spatial models). | This outcome assesses the relationship between circulating plasma biomarkers (cytokines, chemokines, DAMP-related markers) and tumour tissue characteristics, including spatial immune cell organisation, HMGB1 localisation, and O-GlcNAcylation status, as measured by multiplex immunofluorescence and digital spatial profiling. |
| Measure | Description | Time Frame |
|---|---|---|
| Loco-regional Recurrence-Free Survival | Time from diagnosis to the occurrence of local or regional recurrence of ESCC. | 5 years |
| Disease-Specific Survival (DSS) | Time from diagnosis to death specifically attributable to esophageal squamous cell carcinoma. |
Inclusion Criteria:
Exclusion Criteria:
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Patients with histologically confirmed esophageal squamous cell carcinoma receiving care at Prince of Wales Hospital, Hong Kong. Participants will provide tumour tissue and peripheral blood specimens collected during routine diagnostic, treatment, and follow-up procedures.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Surgery, Faculty of Medicine, the Chinese University of Hong Kong | Hong Kong | Hong Kong |
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| ID | Term |
|---|---|
| D000077277 | Esophageal Squamous Cell Carcinoma |
| D004938 | Esophageal Neoplasms |
| ID | Term |
|---|---|
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
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| ID | Term |
|---|---|
| D013048 | Specimen Handling |
| ID | Term |
|---|---|
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D008919 | Investigative Techniques |
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|
| 5 years |
| 5 years |
| Overall Survival (OS) | Time from diagnosis to death from any cause. | 5 years |
| D009369 | Neoplasms |
| D018307 | Neoplasms, Squamous Cell |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D006258 | Head and Neck Neoplasms |
| D004066 | Digestive System Diseases |
| D004935 | Esophageal Diseases |
| D005767 | Gastrointestinal Diseases |