Liquid Biopsy Assay Evaluated for Early Detection of Gastric Cancer
By LabMedica International staff writers Posted on 08 Sep 2021 |

Image: Schematic representation of cancer-related biomolecules such as cells, proteins, nucleic acids, miRNA and microvesicles circulating into the bloodstream, and collection of these biomarkers by liquid biopsy (Photo courtesy of University of Florence)
Gastric cancer (GC) is the fourth most-commonly diagnosed cancer, and the third leading cause of cancer-associated mortality worldwide. Despite improvements in treatment modalities, the prognosis for advanced GC following curative resection remains poor.
Patients diagnosed with early-stage GC have a favorable prognosis, underscoring the paradigm that identification at earlier stages remains an attractive strategy for reducing GC-associated patient mortality. The use of liquid biopsy-based, noninvasive cancer biomarkers has become increasingly desirable, and several promising molecular biomarkers have been identified in blood, urine, and gastric juice.
Gastroenterologists at the Baylor University Medical Center (Dallas, TX) and their international colleagues analyzed more than 1,900 tissue and serum specimens from patients with GC, adjacent normal tissues, and healthy participants across four phases. Study phases included a biomarker discovery phase, a tissue validation phase, a retrospective serum validation phase, and a prospective serum performance evaluation phase.
The biomarker discovery cohort (436 GC tissues and 41 adjacent normal mucosae) was analyzed to identify miRNA candidates. In the tissue validation phase, quantitative reverse-transcription–polymerase chain reaction (qRT-PCR) assays were performed to interrogate the expression levels of candidate miRNAs in 50 pairs of matched, fresh-frozen, primary tumor and adjacent normal tissues from patients with GC. In the prospective serum validation phase, serum specimens were collected from 176 patients with GC and 173 healthy participants, matched by age and sex, who were prospectively recruited from March 2017 to August 2018. The 10 miRNAs were validated in two additional independent datasets that included 40 GC and 40 non-cancerous tissue specimens with miRNA profiling data acquired using the miRNA microarray (Agilent Technologies, Santa Clara, CA, USA).
The scientists reported that the data sets for the genome-wide expression profiling analysis stage included 598 total patient samples (284 [55.4%] from men; mean ±SE patient age, 65.7 ± 0.5 years). The resulting 10-miRNA signature was validated in two retrospective GC serum cohorts (586 patients; 348 [59.4%] men, mean ± SE age, 66.0 ± 0.7 years), which led to the establishment of a 5-miRNA signature (AUC, 0.90) that also exhibited high levels of diagnostic performance in patients with stage I disease (AUC, 0.89) A risk-scoring model was derived and the assay was optimized to a minimal number of miRNAs. The performance of the resulting 3-miRNA signature was then validated in a prospective cohort of 349 patients with GC.
The final 3-miRNA signature (miR-18a, miR-181b, and miR-335) exhibited high diagnostic accuracy in all stages of patients (AUC, 0.86), including in patients with stage I disease (AUC, 0.85). This miRNA signature was superior to currently used blood markers and outperformed the endoscopic screening in a cost-effectiveness analysis (incremental cost-effectiveness ratio [USD 2,304.80 per quality-adjusted life-year]).
The authors concluded that their study established a robust, noninvasive, circulating miRNA signature for GC detection, and validated its diagnostic potential in multiple independent patient cohorts, both retrospective and prospective, highlighting its potential application for the early detection of patients with GC. The study was published on August 24, 2021 in the journal JAMA Network Open.
Related Links:
Baylor University Medical Center
Agilent Technologies
Patients diagnosed with early-stage GC have a favorable prognosis, underscoring the paradigm that identification at earlier stages remains an attractive strategy for reducing GC-associated patient mortality. The use of liquid biopsy-based, noninvasive cancer biomarkers has become increasingly desirable, and several promising molecular biomarkers have been identified in blood, urine, and gastric juice.
Gastroenterologists at the Baylor University Medical Center (Dallas, TX) and their international colleagues analyzed more than 1,900 tissue and serum specimens from patients with GC, adjacent normal tissues, and healthy participants across four phases. Study phases included a biomarker discovery phase, a tissue validation phase, a retrospective serum validation phase, and a prospective serum performance evaluation phase.
The biomarker discovery cohort (436 GC tissues and 41 adjacent normal mucosae) was analyzed to identify miRNA candidates. In the tissue validation phase, quantitative reverse-transcription–polymerase chain reaction (qRT-PCR) assays were performed to interrogate the expression levels of candidate miRNAs in 50 pairs of matched, fresh-frozen, primary tumor and adjacent normal tissues from patients with GC. In the prospective serum validation phase, serum specimens were collected from 176 patients with GC and 173 healthy participants, matched by age and sex, who were prospectively recruited from March 2017 to August 2018. The 10 miRNAs were validated in two additional independent datasets that included 40 GC and 40 non-cancerous tissue specimens with miRNA profiling data acquired using the miRNA microarray (Agilent Technologies, Santa Clara, CA, USA).
The scientists reported that the data sets for the genome-wide expression profiling analysis stage included 598 total patient samples (284 [55.4%] from men; mean ±SE patient age, 65.7 ± 0.5 years). The resulting 10-miRNA signature was validated in two retrospective GC serum cohorts (586 patients; 348 [59.4%] men, mean ± SE age, 66.0 ± 0.7 years), which led to the establishment of a 5-miRNA signature (AUC, 0.90) that also exhibited high levels of diagnostic performance in patients with stage I disease (AUC, 0.89) A risk-scoring model was derived and the assay was optimized to a minimal number of miRNAs. The performance of the resulting 3-miRNA signature was then validated in a prospective cohort of 349 patients with GC.
The final 3-miRNA signature (miR-18a, miR-181b, and miR-335) exhibited high diagnostic accuracy in all stages of patients (AUC, 0.86), including in patients with stage I disease (AUC, 0.85). This miRNA signature was superior to currently used blood markers and outperformed the endoscopic screening in a cost-effectiveness analysis (incremental cost-effectiveness ratio [USD 2,304.80 per quality-adjusted life-year]).
The authors concluded that their study established a robust, noninvasive, circulating miRNA signature for GC detection, and validated its diagnostic potential in multiple independent patient cohorts, both retrospective and prospective, highlighting its potential application for the early detection of patients with GC. The study was published on August 24, 2021 in the journal JAMA Network Open.
Related Links:
Baylor University Medical Center
Agilent Technologies
Latest Pathology News
- AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
- AI-Driven Analysis of Digital Pathology Images to Improve Pediatric Sarcoma Subtyping
- AI-Based Model Predicts Kidney Cancer Therapy Response
- Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
- World’s First AI Model for Thyroid Cancer Diagnosis Achieves Over 90% Accuracy
- Breakthrough Diagnostic Approach to Significantly Improve TB Detection
- Rapid, Ultra-Sensitive, PCR-Free Detection Method Makes Genetic Analysis More Accessible
- Spit Test More Accurate at Identifying Future Prostate Cancer Risk
- DNA Nanotechnology Boosts Sensitivity of Test Strips
- Novel UV and Machine Learning-Aided Method Detects Microbial Contamination in Cell Cultures
- New Error-Corrected Method to Help Detect Cancer from Blood Samples Alone
- "Metal Detector" Algorithm Hunts Down Vulnerable Tumors
- Novel Technique Uses ‘Sugar’ Signatures to Identify and Classify Pancreatic Cancer Cell Subtypes
- Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
- AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
- AI Model Predicts Patient Response to Bladder Cancer Treatment
Channels
Clinical Chemistry
view channel
First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
In the United States, syphilis cases have surged by nearly 80% from 2018 to 2023, with 209,253 cases recorded in the most recent year of data. Syphilis, which can be transmitted sexually or from mother... Read more
Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse
Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read more
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
Detecting brain cancers remains extremely challenging, with many patients only receiving a diagnosis at later stages after symptoms like headaches, seizures, or cognitive issues appear. Late-stage diagnoses... Read more
AI-Driven Analysis of Digital Pathology Images to Improve Pediatric Sarcoma Subtyping
Pediatric sarcomas are rare and diverse tumors that can develop in various types of soft tissue, such as muscle, tendons, fat, blood or lymphatic vessels, nerves, or the tissue surrounding joints.... Read more
AI-Based Model Predicts Kidney Cancer Therapy Response
Each year, nearly 435,000 individuals are diagnosed with clear cell renal cell carcinoma (ccRCC), making it the most prevalent subtype of kidney cancer. When the disease spreads, anti-angiogenic therapies... Read more
Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
Ubiquitination and deubiquitination are two important physiological processes in the ubiquitin-proteasome system, responsible for protein degradation in cells. Deubiquitinating (DUB) enzymes contain around... Read moreTechnology
view channel
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more