Results for 'oncology biomarkers'
Browse oncology articles matching oncology biomarkers — expert analysis, clinical perspectives, and industry updates from across drug development and care delivery. Use the tabs above for podcasts, press releases, partners, and people for the same search.
David J. Segarnick, PhD Chief Medical Officer, Educational Resource Systems Adjunct Associate Professor, Rutgers New Jersey Medical School Department of Pharmacology, Physiology & Neuroscience David E. Wazer, MD, FACRO, FABS, FACR, FASTRO Research Scholar
From Genomic Testing to Digital Biomarkers: The Expanding Role of Biomarkers in Oncology
oncology biomarkers, precision oncology, predictive biomarkers
Biomarkers have moved from the margins of oncology to the center of clinical decision-making. They now help establish diagnosis and prognosis, identify patients most likely to benefit from targeted therapy or immunotherapy, monitor response, detect molecular residual disease and emerging resistance,…
Aug 20th • 35 mins read
iNIZIO
Transforming oncology: Five frontiers driving progress in cancer care
From biomarker-driven breakthroughs to AI-powered early detection and a renewed commitment to equity and patient centricity, the past 12 months have seen major strides across cancer research, treatment, and communication. At Inizio, we’ve had a front-row seat to this transformation, supporting…
May 16th • 5 mins read
Jayson L. Parker, Sebnem S. Kuzulugil, Kirill Pereverzev, Stephen Mac, Gilberto Lopes, Zain Shah, Ashini Weerasinghe, Daniel Rubinger, Adam Falconi, Ayse Bener, Bora Caglayan, Rohan Tangri, Nicholas Mitsakakis
Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis
biomarker, clinical trial, failure, analysis, NSCLC, oncology
Data from clinical trials across four oncology indications (breast cancer, NSCLC, melanoma, and colorectal cancer) from 1998 to 2017 were analyzed to assess drug approval likelihood based on biomarker status. Using multi-state Markov models, which describe stochastic processes, the study…
Feb 23rd • 8 mins read
J. Remon, R. García-Campelo, E. de Álava, R. Vera, J. L. Rodríguez-Peralto, Á. Rodríguez-Lescure, B. Bellosillo, P. Garrido, F. Rojo & R. Álvarez-Alegret
Liquid biopsy in oncology: a consensus statement of the Spanish Society of Pathology and the Spanish Society of Medical Oncology
Liquid biopsy, ctDNA, Oncology, Genomic profling, Precision medicine
The proportion of cancer patients with tumors having potentially targetable genomic alterations is increasing. Diagnosing these alterations can lead to tailored treatments and provide additional predictive information on immunotherapy efficacy. In many cases, initial tissue biopsies are ina…
Sep 26th • 17 mins read
J. Remon, R. García-Campelo, E. de Álava, R. Vera, J. L. Rodríguez-Peralto, Á. Rodríguez-Lescure, B. Bellosillo, P. Garrido, F. Rojo & R. Álvarez-Alegret
Liquid biopsy in oncology: a consensus statement of the Spanish Society of Pathology and the Spanish Society of Medical Oncology
Liquid biopsy, ctDNA, Oncology, Genomic profling, Precision medicine
The proportion of cancer patients with tumours that have targetable genomic alterations is increasing, which is crucial for tailored treatment and predicting immunotherapy efficacy. Initial tissue biopsies are often inadequate for precision oncology, and obtaining new tumour tissues at pr…
Sep 26th • 16 mins read
Neil Carleton and Priscilla F. McAuliffe
Are the chronological age cutoffs used in clinical oncology guidelines biologically meaningful?
Age, cutoffs, clinical oncology guide, biomarkerslines
Age is a significant risk factor for cancer, influencing tumour biology, treatment recommendations, and therapy response. Breast cancer incidence peaks around 70 years of age, with over one-third of diagnoses in this age group. Clinical guidelines vary in defining "older" patients, using …
Dec 1st • 4 mins read
Kirill Peskov, Ivan Azarov, Lulu Chu, Veronika Voronova, Yuri Kosinsky, Gabriel Helmlinger
Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology
immuno-oncology, mechanistic models, tumor vs. immune system, systems pharmacology, pharmacokinetics, pharmacodynamics, molecular and cellular biomarkers
There has been significant growth in the development of immuno-modulating pharmacological treatments for various cancers following the approval of the first immune checkpoint inhibitor. Challenges in immuno-oncology (IO) drug development are complex and span from the discovery phase to late-…
Apr 30th • 12 mins read
Kirsten B Goldberg, Gideon M Blumenthal, Amy E McKee and Richard Pazdur
The FDA Oncology Center of Excellence and Precision Medicine
Biomarkers, drugs, hematology, medicine, oncology, precision medicine, regulation
The FDA is exploring real-world evidence to enhance understanding of the long-term safety and efficacy of oncology drugs. Initiatives like the Information Exchange and Data Transformation initiative are building infrastructure for big-data analytics. Additionally, patient-focused programs aim to inc…
Nov 6th • 3 mins read
Guillaume Beinse, MD, Virgile Tellier, Valentin Charvet, MSc, Eric Deutsch, MD, PhD, Isabelle Borget, PharmD, PhD, Christophe Massard, MD, PhD., Antoine Hollebecque, MD, PhD, and Loic Verlingue, MD
Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2
clinical trials, RESOLVED2, FDA
Challenge in Oncology Drug Development: The field is currently facing an increase in the number of antineoplastic agents (ANAs) entering phase I clinical trials (P1CTs) and a high attrition rate for final FDA approval. Objective: Development of a machine learning algorithm, RESOLVED2, to …
Sep 20th • 12 mins read