Multianalyte Test Predicts Drug Resistance in Esophageal Cancer
|
By LabMedica International staff writers Posted on 16 Mar 2015 |

Image: Histopathology of esophageal carcinoma showing infiltrating nests of neoplastic cells (Photo courtesy of Dr. Elliot Weisenberg, MD).
A multianalyte algorithmic immunohistochemistry (IHC) assay accurately identifies patients with locoregional esophageal adenocarcinoma (EC) who exhibit extreme resistance to neoadjuvant chemoradiotherapy.
The test analyzes the localization of three protein biomarkers within a patient's tumor to classify the cancer as either responsive to or resistant to presurgical chemoradiotherapy and demonstrates strong accuracy and specificity in identifying patients with tumors that are unlikely to respond to standard presurgical (neoadjuvant) chemotherapy and radiation.
Scientists at Baylor College of Medicine (Houston TX, USA) and their colleagues studied archived biopsy specimens of EC which were subject to IHC examination of compartmentalized immunoreactivity of nuclear factor kappa B (NF-κB), Sonic Hedgehog (SHH), and GLI family zinc finger 1 (Gli-1), and a labeling index score was assigned to each biomarker. Pretreatment tumor biopsies were used to evaluate resistance (exCTRT) or responsiveness to (non-exCTRT) standard presurgical chemoradiotherapy (CTRT) regimens under accredited certified laboratory protocols.
According to validation studies, the DecisionDx-EC test (Castle Biosciences, Inc.; Friendswood, TX, USA) can reliably differentiate patients who are complete or partial responders to chemoradiotherapy from those who are non-responders. An initial, single center clinical validation study of 167 patients, which was used as training set for the current validation study, achieved an area under the curve (AUC) of 0.96 and an overall accuracy of 90%. The second validation, enrolled 64 patients from two independent institutions, and achieved an AUC of 0.96 and an overall accuracy of 84% for classifying which patients are likely to be highly resistant to presurgical chemotherapy treatment for esophageal cancer.
Derek Maetzold, BS, MBA, the President and CEO of Castle Biosciences, said, “Publication of these results is a culmination of our extensive program to analytically and clinically validate a new predictive test for esophageal cancer. DecisionDx-EC fits well within our strategy of developing and commercializing valuable prognostic tests that help physicians to select the most appropriate care for their patients.” The study was published on February 19, 2015, in the journal Gastrointestinal Cancer: Targets and Therapy.
Related Links:
Baylor College of Medicine
Castle Biosciences, Inc.
The test analyzes the localization of three protein biomarkers within a patient's tumor to classify the cancer as either responsive to or resistant to presurgical chemoradiotherapy and demonstrates strong accuracy and specificity in identifying patients with tumors that are unlikely to respond to standard presurgical (neoadjuvant) chemotherapy and radiation.
Scientists at Baylor College of Medicine (Houston TX, USA) and their colleagues studied archived biopsy specimens of EC which were subject to IHC examination of compartmentalized immunoreactivity of nuclear factor kappa B (NF-κB), Sonic Hedgehog (SHH), and GLI family zinc finger 1 (Gli-1), and a labeling index score was assigned to each biomarker. Pretreatment tumor biopsies were used to evaluate resistance (exCTRT) or responsiveness to (non-exCTRT) standard presurgical chemoradiotherapy (CTRT) regimens under accredited certified laboratory protocols.
According to validation studies, the DecisionDx-EC test (Castle Biosciences, Inc.; Friendswood, TX, USA) can reliably differentiate patients who are complete or partial responders to chemoradiotherapy from those who are non-responders. An initial, single center clinical validation study of 167 patients, which was used as training set for the current validation study, achieved an area under the curve (AUC) of 0.96 and an overall accuracy of 90%. The second validation, enrolled 64 patients from two independent institutions, and achieved an AUC of 0.96 and an overall accuracy of 84% for classifying which patients are likely to be highly resistant to presurgical chemotherapy treatment for esophageal cancer.
Derek Maetzold, BS, MBA, the President and CEO of Castle Biosciences, said, “Publication of these results is a culmination of our extensive program to analytically and clinically validate a new predictive test for esophageal cancer. DecisionDx-EC fits well within our strategy of developing and commercializing valuable prognostic tests that help physicians to select the most appropriate care for their patients.” The study was published on February 19, 2015, in the journal Gastrointestinal Cancer: Targets and Therapy.
Related Links:
Baylor College of Medicine
Castle Biosciences, Inc.
Latest Pathology News
- AI Bone Marrow Mapping Provides New Tool to Track Blood Cancer Severity
- AI Tissue Imaging Helps Guide Targeted Therapy for Lung Cancer
- Imaging Platform Maps Lipid Accumulations in Fabry Heart Tissue
- Tissue-Based Gene Signature Signals Colorectal Cancer Recurrence Risk
- FDA-Approved Companion Diagnostic Detects PTEN Loss in Prostate Cancer
- New AI Test Delivers Rapid Breast Cancer Recurrence Predictions
- EBV Status Helps Predict Survival in Primary CNS Lymphoma
- AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
- Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
- Study Highlights Biomarker Testing Delays in Lung Cancer Care
- Stain-Free Imaging Platform Matches Standard Cancer Pathology
- New Companion Diagnostic Expands Precision Medicine in Prostate Cancer
- Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
- AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
- IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
- AI Pathology Tool Predicts Meningioma Recurrence from Routine Slides
Channels
Clinical Chemistry
view channel
New Machine-Learning Equation Improves LDL Cholesterol Assessment
Accurate assessment of low-density lipoprotein (LDL) cholesterol is central to cardiovascular risk management, yet calculation methods can underestimate values in some patients. Laboratories widely use... Read more
Blood Biomarker May Signal Cognitive Decline Risk a Decade Before Symptoms
Accurately identifying which cognitively healthy older adults will later develop impairment due to Alzheimer’s disease remains difficult, as brain scans and genetic testing provide only part of the risk picture.... Read moreMolecular Diagnostics
view channel
New Biomarker Helps Guide Combination Therapy for Treatment-Resistant Breast Cancer
Chemotherapy resistance hampers treatment of triple-negative breast cancer (TNBC), particularly in tumors with TP53 mutations. Identifying biomarkers that signal resistance while pointing to actionable... Read moreBlood-Based Gene Expression Test Detects Early Pancreatic Cancer
Pancreatic cancer remains difficult to detect at a curable stage and is associated with poor survival outcomes. In Japan, the five-year relative survival rate is 8.5%, while early-stage disease accounts... Read moreHematology
view channel
New Biomarkers Predict Resistance to Targeted Therapy in Rare Blood Cancer
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive leukemia with limited treatment options and a poor prognosis. Although tagraxofusp is the first approved targeted therapy for... Read more
AI Decision Support System Guides Treatment Selection for Complex Blood Cancers
Treatment selection for hematologic malignancies often requires clinicians to synthesize clinical histories, genomic alterations, prior therapies, and rapidly evolving drug options. These complex decisions... Read moreImmunology
view channel
New Assays Expand Cytokine Testing for Transplant and Immunocompromised Patients
Eurofins Viracor has introduced three plasma-based assays—CXCL9 (Test Code 33607), CXCL10 (Test Code 33609), and interleukin-18 (IL-18) (Test Code 33611)—expanding its immunology testing menu for transplant... Read more
Cell-Free Assay Detects Functional IgE for Food Allergy Diagnosis
Accurately distinguishing sensitization from clinically relevant food allergy remains a challenge for laboratories, as routine blood tests detect allergen-specific immunoglobulin E (IgE) but not its capacity... Read more
Diagnostic Models Detect Hidden Eye Abnormalities After Mild COVID-19
Persistent ocular symptoms after COVID-19 can severely affect reading, work, and daily tasks, yet standard eye exams often reveal no clear abnormalities. Patients experiencing photophobia, eye pain, and... Read more
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read moreMicrobiology
view channel
Syndromic GI Panel Detects Cyclospora for Rapid Case Confirmation
U.S. health authorities have reported a rapid increase in cyclosporiasis since May 2026, with more than 1,600 confirmed infections and thousands of additional suspected cases under investigation.... Read more
Rapid Panel Identifies Gram-Negative Pathogens and Resistance Markers in Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance mechanisms to guide effective therapy. Delays in profiling gram-negative organisms, which are frequently associated... Read moreTechnology
view channel
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read moreIndustry
view channel
Leica Biosystems to Expand Pathology Portfolio Through StatLab Acquisition
Leica Biosystems, an operating company of Danaher, has entered into a definitive agreement to acquire privately held StatLab Medical Products from Linden Capital Partners and Audax Private Equity.... Read more




 Assay.jpg)



