Resistance of Tumor Cells to Cancer Drugs Detected
By LabMedica International staff writers Posted on 06 Nov 2018 |

Image: The WITec alpha 300AR confocal Raman microscope (Photo courtesy of WITec).
Acquired resistance is developing during treatment of cancer patients who were initially responding to the therapy. Drug resistance is mediated by mutations acquired during therapy, in addition to other adaptive responses.
Currently used in vitro assays to monitor the drug efficacy and acquired resistance are often performed using fluorescently labeled drug molecules, Western blot, and cytotoxicity assays. However, proteins are highly coupled within networks and signal transduction networks are complex.
Scientists at the Ruhr-University Bochum (Bochum, Germany) used tyrosine kinase receptor inhibitors that have been approved for lung cancer therapy. They inhibit cell growth by binding to specific proteins on the cell surface. However, patients develop resistance to the drugs in the course of therapy, because of protein changes in cancer cells. A WITec alpha 300AR confocal Raman microscope (Ulm, Germany) was used to acquire Raman micro-spectroscopic imaging of cancer cells. Raman micro-spectroscopic measurements were performed by raster-scanning the laser light over cancer cells to acquire a Raman spectrum at a speed of 0.5 seconds per pixel with a pixel resolution was 500 nm.
The team reported that non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations develop acquired resistance to first (erlotinib)- and third (osimertinib)-generation tyrosine kinase inhibitors (TKIs). Large erlotinib-induced differences were detected by Raman micro-spectroscopy in NSCLC cells without T790M EGFR mutation, but not in cells with this mutation. Additionally, Raman difference spectra detected the response of NSCLC cells with T790M EGFR mutation to second- (neratinib) and third-generation (osimertinib) TKIs, and the resistance of cells with T790M/C797S EGFR mutation to osimertinib.
The in vitro Raman results indicated that NSCLC cells with T790M and T790M/C797S EGFR mutations are resistant to erlotinib- and osimertinib, respectively, consistent with the observed responses of patients. The authors concluded that their study shows the potential of Raman micro-spectroscopy to monitor drug resistance and opens a new door to in vitro companion diagnostics for screening personalized therapies. The study was published on October 15, 2018, in the journal Scientific Reports.
Currently used in vitro assays to monitor the drug efficacy and acquired resistance are often performed using fluorescently labeled drug molecules, Western blot, and cytotoxicity assays. However, proteins are highly coupled within networks and signal transduction networks are complex.
Scientists at the Ruhr-University Bochum (Bochum, Germany) used tyrosine kinase receptor inhibitors that have been approved for lung cancer therapy. They inhibit cell growth by binding to specific proteins on the cell surface. However, patients develop resistance to the drugs in the course of therapy, because of protein changes in cancer cells. A WITec alpha 300AR confocal Raman microscope (Ulm, Germany) was used to acquire Raman micro-spectroscopic imaging of cancer cells. Raman micro-spectroscopic measurements were performed by raster-scanning the laser light over cancer cells to acquire a Raman spectrum at a speed of 0.5 seconds per pixel with a pixel resolution was 500 nm.
The team reported that non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations develop acquired resistance to first (erlotinib)- and third (osimertinib)-generation tyrosine kinase inhibitors (TKIs). Large erlotinib-induced differences were detected by Raman micro-spectroscopy in NSCLC cells without T790M EGFR mutation, but not in cells with this mutation. Additionally, Raman difference spectra detected the response of NSCLC cells with T790M EGFR mutation to second- (neratinib) and third-generation (osimertinib) TKIs, and the resistance of cells with T790M/C797S EGFR mutation to osimertinib.
The in vitro Raman results indicated that NSCLC cells with T790M and T790M/C797S EGFR mutations are resistant to erlotinib- and osimertinib, respectively, consistent with the observed responses of patients. The authors concluded that their study shows the potential of Raman micro-spectroscopy to monitor drug resistance and opens a new door to in vitro companion diagnostics for screening personalized therapies. The study was published on October 15, 2018, in the journal Scientific Reports.
Latest Pathology News
- Groundbreaking Chest Pain Triage Algorithm to Transform Cardiac Care
- 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
Channels
Clinical Chemistry
view channel
AI-Powered Blood Test Accurately Detects Ovarian Cancer
Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more
Automated Decentralized cfDNA NGS Assay Identifies Alterations in Advanced Solid Tumors
Current circulating cell-free DNA (cfDNA) assays are typically centralized, requiring specialized handling and transportation of samples. Introducing a flexible, decentralized sequencing system at the... Read moreMass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication
Speed and accuracy are essential when diagnosing diseases. Traditionally, diagnosing bacterial infections involves the labor-intensive process of isolating pathogens and cultivating bacterial cultures,... Read more
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 moreMolecular Diagnostics
view channel
Groundbreaking Molecular Diagnostic Test Accurately Diagnoses Major Genetic Cause of COPD
Chronic obstructive pulmonary disease (COPD) and Alpha-1 Antitrypsin Deficiency (AATD) are both conditions that can cause breathing difficulties, but they differ in their origins and inheritance.... Read more
First-in-Class Diagnostic Blood Test Detects Axial Spondyloarthritis
Axial spondyloarthritis (axSpA) is a chronic inflammatory autoimmune condition that typically affects individuals during their most productive years, with symptoms often emerging before the age of 45.... Read more
New Molecular Label to Help Develop Simpler and Faster Tuberculosis Tests
Tuberculosis (TB), the deadliest infectious disease globally, is responsible for infecting an estimated 10 million people each year and causing over 1 million deaths annually. While chest X-rays and molecular... Read more
Biomarker Discovery Paves Way for Blood Tests to Detect and Treat Osteoarthritis
The number of individuals affected by osteoarthritis is projected to exceed 1 billion by 2050. The primary risk factor for this common, often painful chronic joint condition is aging, and, like aging itself,... Read moreHematology
view channel
First Point-of-Care Heparin Monitoring Test Provides Results in Under 15 Minutes
Heparin dosing requires careful management to avoid both bleeding and clotting complications. In high-risk situations like extracorporeal membrane oxygenation (ECMO), mortality rates can reach about 50%,... Read more
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 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
Molecular Stool Test Shows Potential for Diagnosing TB in Adults with HIV
Tuberculosis (TB), caused by the bacterium Mycobacterium tuberculosis, led to 1.25 million deaths in 2023, with 13% of those occurring in people living with HIV. The current primary diagnostic method for... Read more
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 moreTechnology
view channel
Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer
Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
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 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