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Esophageal squamous cell carcinoma (ESCC) remains a highly lethal cancer worldwide, largely due to late diagnosis. Current screening methods such as upper endoscopy are invasive, operator-dependent, and limited in their ability to detect early-stage lesions.
To address this clinical need, the SYNERGY study seeks to develop a non-invasive, blood-based biomarker assay that integrates cell-free microRNAs (cf-miRNAs) and exosomal microRNAs (exo-miRNAs) to detect ESCC at an early and potentially curable stage.
This multicenter translational study includes discovery, training, and validation phases using preoperative plasma or serum samples. By combining the tumor specificity of exosomal miRNAs with the systemic sensitivity of cf-miRNAs, SYNERGY aims to construct a robust diagnostic model with high sensitivity and specificity for early ESCC detection.
Esophageal cancer is the 11th most common cancer globally and the 7th leading cause of cancer-related death, with an estimated 511,000 new cases and 445,000 deaths annually. ESCC accounts for the majority of cases worldwide. Despite advances in endoscopy and therapy, outcomes for advanced ESCC remain poor, highlighting the pressing need for sensitive, minimally invasive early detection strategies.
Exosomal miRNAs (exo-miRNAs) are selectively released by tumor cells and remain stable in circulation, enabling reliable detection of tumor-specific signals. Cell-free miRNAs (cf-miRNAs) circulate broadly and can reflect overall tumor burden, metastatic spread, and microenvironmental changes.
Previous ESCC biomarker studies were limited by small validation cohorts and reliance on tissue-based public datasets that do not fully capture circulating biomarker patterns. The SYNERGY study addresses these limitations through comprehensive discovery analysis and multi-cohort blood-based validation.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Discovery cohort (ESCC) | Patients with ESCC |
| |
| Discovery cohort (NDC) | Non-Disease Control |
| |
| Training cohort (ESCC) | Patients with ESCC |
| |
| Training cohort (NDC) | Non-Disease Control |
| |
| Testing cohort (ESCC) | Patients with ESCC |
| |
| Testing cohort (NDC) | Non-Disease Control |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Small RNA sequencing of exo- and cf-miRNAs | Diagnostic Test | Identification of differentially expressed cf-miRNAs |
|
| Measure | Description | Time Frame |
|---|---|---|
| Sensitivity | Comparison of Pathological Diagnosis and the SYNERGY Assay | At study completion, an average of one year |
| Measure | Description | Time Frame |
|---|---|---|
| AUC | AUC of integrated cf- + exo-miRNA model | At Study completion, an average of one year |
| Specificity | Description: Comparison of Pathological Diagnosis and the SYNERGY Assay |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with histologically confirmed ESCC Healthy volunteers or non-disease controls (NDC)
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ajay Goel, PhD | Contact | 626-218-3452 | ajgoel@coh.org |
| Name | Affiliation | Role |
|---|---|---|
| Ajay Goel, PhD | City of Hope Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| City of Hope Medical Center | Recruiting | Monrovia | California | 91016 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30387125 | Background | Mao Y, Fu Z, Zhang Y, Dong L, Zhang Y, Zhang Q, Li X, Wang C. A six-microRNA risk score model predicts prognosis in esophageal squamous cell carcinoma. J Cell Physiol. 2019 May;234(5):6810-6819. doi: 10.1002/jcp.27429. Epub 2018 Nov 1. | |
| 38956246 | Background | Li T, Sun G, Ye H, Song C, Shen Y, Cheng Y, Zou Y, Fang Z, Shi J, Wang K, Dai L, Wang P. ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles. Br J Cancer. 2024 Sep;131(5):883-894. doi: 10.1038/s41416-024-02781-w. Epub 2024 Jul 2. |
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De-identified participant data will be made available at the time of publication through a signed data access agreement, pending approval by the investigators for proposed scientific use.
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RNA from plasma or serum
| RT-qPCR quantification of cf- and exo-miRNAs (SYNERGY assay) | Diagnostic Test | RT-qPCR quantification of cf- and exo-miRNAs, and construction of machine learning classifier |
|
| PCR-based validation (SYNERGY assay) | Diagnostic Test | PCR-based validation of the SYNERGY miRNA panel |
|
| Time Frame: At study completion, , an average of one year |
| 37399999 | Background | Li K, Lin Y, Zhou Y, Xiong X, Wang L, Li J, Zhou F, Guo Y, Chen S, Chen Y, Tang H, Qiu X, Cai S, Zhang D, Bremer E, Jim Yeung SC, Zhang H. Salivary Extracellular MicroRNAs for Early Detection and Prognostication of Esophageal Cancer: A Clinical Study. Gastroenterology. 2023 Oct;165(4):932-945.e9. doi: 10.1053/j.gastro.2023.06.021. Epub 2023 Jul 1. |
| 35148754 | Background | Miyoshi J, Zhu Z, Luo A, Toden S, Zhou X, Izumi D, Kanda M, Takayama T, Parker IM, Wang M, Gao F, Zaidi AH, Baba H, Kodera Y, Cui Y, Wang X, Liu Z, Goel A. A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study. Mol Cancer. 2022 Feb 11;21(1):44. doi: 10.1186/s12943-022-01507-x. |
| 39849483 | Background | Chen J, Zheng Y, Wang Z, Gao Q, Hao K, Chen X, Ke N, Lv X, Weng J, Zhong Y, Huang Z, Fu M, Zhao L, Lin F, Mi H, Tang H, Yu C, Huang Y. Development a glycosylated extracellular vesicle-derived miRNA Signature for early detection of esophageal squamous cell carcinoma. BMC Med. 2025 Jan 23;23(1):39. doi: 10.1186/s12916-025-03871-z. |
| 36153105 | Background | Codipilly DC, Wang KK. Squamous Cell Carcinoma of the Esophagus. Gastroenterol Clin North Am. 2022 Sep;51(3):457-484. doi: 10.1016/j.gtc.2022.06.005. Epub 2022 Aug 29. |
| 21296855 | Background | Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA Cancer J Clin. 2011 Mar-Apr;61(2):69-90. doi: 10.3322/caac.20107. Epub 2011 Feb 4. |
| 29709526 | Background | Codipilly DC, Qin Y, Dawsey SM, Kisiel J, Topazian M, Ahlquist D, Iyer PG. Screening for esophageal squamous cell carcinoma: recent advances. Gastrointest Endosc. 2018 Sep;88(3):413-426. doi: 10.1016/j.gie.2018.04.2352. Epub 2018 Apr 27. |
| 39182610 | Background | Chen J, Liu X, Zhang Z, Su R, Geng Y, Guo Y, Zhang Y, Su M. Early Diagnostic Markers for Esophageal Squamous Cell Carcinoma: Copy Number Alteration Gene Identification and cfDNA Detection. Lab Invest. 2024 Oct;104(10):102127. doi: 10.1016/j.labinv.2024.102127. Epub 2024 Aug 23. |
| 41088482 | Background | Ma L, Dou L, Liu Y, Zhang Y, Liu X, Ng HL, Chu J, Liu Y, Li Z, Ke Y, Liu S, He S, Wang G. Development and validation of predictive models combining cell-Free DNA motifs and protein biomarkers for early detection of esophageal squamous cell carcinoma and precancerous lesion. Biomark Res. 2025 Oct 14;13(1):126. doi: 10.1186/s40364-025-00840-9. |
| 39725880 | Background | Zheng Y, Xing W, BingWei, Liu X, Liang G, Yuan D, Yang K, Wang W, Chen D, Ma J. Detection of a novel DNA methylation marker panel for esophageal cancer diagnosis using circulating tumor DNA. BMC Cancer. 2024 Dec 26;24(1):1578. doi: 10.1186/s12885-024-13301-7. |
| ID | Term |
|---|---|
| D000077277 | Esophageal Squamous Cell Carcinoma |
| ID | Term |
|---|---|
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D018307 | Neoplasms, Squamous Cell |
| D004938 | Esophageal Neoplasms |
| 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 |
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