Prognostic Biomarkers Identified for Aggressive Breast Cancer
By LabMedica International staff writers Posted on 11 Sep 2018 |

Image: Breast tissue from a relapsed patient with active phosphorylation markers (left; brown color), compared to breast tissue from a patient without relapse and who does not have these active markers (right) (Photo courtesy of Centro Nacional de Investigaciones Oncológicas).
The rarest, but also the most aggressive and hard to treat, form of breast cancer, is known as triple negative. For this type of cancer, oncologists have so far been unable to identify markers that can classify patients by prognosis or probability of responding to different treatments.
A successful classification of triple breast cancer patients, which for the first time discriminates those who can be cured from those who might suffer a relapse, has been reported. It also identifies new pharmacological targets, and indicates that in patients with these targets, combined treatments with existing drugs could be effective.
Scientists at the Centro Nacional de Investigaciones Oncológicas (Madrid, Spain) and their colleagues found in samples of tumors from 34 patients, the biochemical markers of the activation of tumor proteins. They found more than two million, but with the help of sophisticated bioinformatic tools, they detected that, among all these signals, there is a precise combination that is only found in patients who relapse. These proteins are activated through kinases, which are in turn protein, and so the next step was to find the kinases responsible for that specific pattern. Finally, the analysis identified the six kinases responsible for the activation pattern characteristic of the proteome of patients who relapse.
The scientists validated their findings with 170 patients confirmed the value of these six kinases as a marker. They detected the phosphorylated peptides by mass spectrometry. LC–MS/MS was done by coupling an UltiMate 3000 HPLC system to a Q Exactive Plus mass spectrometer. Patients in whom none of these proteins was activated had a 95% chance of being cured, or at least not suffering a relapse twelve years after treatment. However, if even one of the six kinases was active, the risk of relapse multiplied by ten. These six kinases can be inhibited using drugs, and there are already drugs in use against some of them. Furthermore, to prove the clinical relevance of their findings, the scientists studied in xenografts and in xenografts derived from patients, tumors from patients transplanted onto mice, the anti-tumour activity of 15 different combinations of drugs, and related it with the activation profile of the six kinases.
Analysis of the functional status of proteins cannot currently be conducted as a routine test in hospitals, but the authors have translated the activation patterns of the kinases into indicators of immunohistochemistry, which can be analyzed easily in hospitals. The objective is for the study of the six kinases identified to become in the future a regular clinical test, in the way that the genetic profiling of any tumour is today. The study was published on August 29, 2018, in the journal Nature Communications.
Related Links:
Centro Nacional de Investigaciones Oncológicas
A successful classification of triple breast cancer patients, which for the first time discriminates those who can be cured from those who might suffer a relapse, has been reported. It also identifies new pharmacological targets, and indicates that in patients with these targets, combined treatments with existing drugs could be effective.
Scientists at the Centro Nacional de Investigaciones Oncológicas (Madrid, Spain) and their colleagues found in samples of tumors from 34 patients, the biochemical markers of the activation of tumor proteins. They found more than two million, but with the help of sophisticated bioinformatic tools, they detected that, among all these signals, there is a precise combination that is only found in patients who relapse. These proteins are activated through kinases, which are in turn protein, and so the next step was to find the kinases responsible for that specific pattern. Finally, the analysis identified the six kinases responsible for the activation pattern characteristic of the proteome of patients who relapse.
The scientists validated their findings with 170 patients confirmed the value of these six kinases as a marker. They detected the phosphorylated peptides by mass spectrometry. LC–MS/MS was done by coupling an UltiMate 3000 HPLC system to a Q Exactive Plus mass spectrometer. Patients in whom none of these proteins was activated had a 95% chance of being cured, or at least not suffering a relapse twelve years after treatment. However, if even one of the six kinases was active, the risk of relapse multiplied by ten. These six kinases can be inhibited using drugs, and there are already drugs in use against some of them. Furthermore, to prove the clinical relevance of their findings, the scientists studied in xenografts and in xenografts derived from patients, tumors from patients transplanted onto mice, the anti-tumour activity of 15 different combinations of drugs, and related it with the activation profile of the six kinases.
Analysis of the functional status of proteins cannot currently be conducted as a routine test in hospitals, but the authors have translated the activation patterns of the kinases into indicators of immunohistochemistry, which can be analyzed easily in hospitals. The objective is for the study of the six kinases identified to become in the future a regular clinical test, in the way that the genetic profiling of any tumour is today. The study was published on August 29, 2018, in the journal Nature Communications.
Related Links:
Centro Nacional de Investigaciones Oncológicas
Latest Clinical Chem. News
- ‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
- Low-Cost Portable Screening Test to Transform Kidney Disease Detection
- New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
- Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
- Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
- AI-Powered Raman Spectroscopy Method Enables Rapid Drug Detection in Blood
- Novel LC-MS/MS Assay Detects Low Creatinine in Sweat and Saliva
- Biosensing Technology Breakthrough Paves Way for New Methods of Early Disease Detection
- New Saliva Test Rapidly Identifies Paracetamol Overdose
- POC Saliva Testing Device Predicts Heart Failure in 15 Minutes
- Screening Tool Detects Multiple Health Conditions from Single Blood Drop
- Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability
- Rapid Drug Test to Improve Treatment for Patients Presenting to Hospital
- AI Model Detects Cancer at Lightning Speed through Sugar Analyses
- First-Ever Blood-Powered Chip Offers Real-Time Health Monitoring
- New ADLM Guidance Provides Expert Recommendations on Clinical Testing For Respiratory Viral Infections
Channels
Molecular Diagnostics
view channel
Blood Test Could Predict Relapse of Autoimmune Blood Vessel Disease
Neutrophils, once believed to be uniform in nature, have been discovered to exhibit significant diversity. These immune cells, which play a crucial role in fighting infections, are also implicated in autoimmune... Read more
First-of-its-Kind Blood Test Detects Trauma-Related Diseases
In today’s fast-paced world, stress and trauma have unfortunately become common experiences for many individuals. Continuous exposure to stress hormones can confuse the immune system, causing it to misinterpret... 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
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
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 more
World’s First AI Model for Thyroid Cancer Diagnosis Achieves Over 90% Accuracy
Thyroid cancer is one of the most common cancers worldwide, and its precise management typically relies on two primary systems: (1) the 8th edition of the American Joint Committee on Cancer (AJCC) or ... Read more
Breakthrough Diagnostic Approach to Significantly Improve TB Detection
Tuberculosis (TB) remains the deadliest infectious disease globally, with 10.8 million new cases and 1.25 million deaths reported in 2023. Early detection through effective screening is crucial in identifying... Read more
Rapid, Ultra-Sensitive, PCR-Free Detection Method Makes Genetic Analysis More Accessible
Genetic testing has been an important method for detecting infectious diseases, diagnosing early-stage cancer, ensuring food safety, and analyzing environmental DNA. For a long time, polymerase chain reaction... Read moreTechnology
view channel
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