Contents
Special Issue Topic

Biomarkers for Personalized and Precise Cancer Diagnosis and Treatment

Guest Editor

Dr. Arun Seth E-Mail

Scientific Director of Molecular Diagnostics, Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre; Academic Director, Genomics Core Facility, Senior Scientist, Sunnybrook Research Institute; Professor, Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto, Toronto, Canada

Research Keywords: precision oncology; breast and prostate cancer biology; molecular diagnostics; genomic profiling; next-generation sequencing; targeted cancer therapy

About the Special lssue

Biomarkers are biological molecules that can be evaluated as an indicator of a normal biological and pathogenic process, or a pharmacologic response to a drug. Identification of key cancer biomarkers is crucial for diagnosis, prognosis, treatment, and therapeutic responses. A wide range of technologies have been used to study and discover biomarkers including mass spectrometry, imaging, next generation sequencing.
Cancer is a complex disease and develops due to the accumulation of genetic and epigenetic alterations. Precision cancer medicine promotes treatment options based on a patient's profile of genetic variations. This requires validated predictive and prognostic biomarkers that can guide the clinical management of individual cancer patients. The focus in precision and personalized cancer medicine is to identify effective approaches for patients based on genetic factors. Most tumors harbor genetic mutations unique to each patient’s cancer. A subset of these mutations drive oncogenesis by conferring a selective growth advantage to the tumor cell. Many cancers specific changes are druggable with highly specific anticancer agents such as small molecules or monoclonal antibodies. In certain cancer cases, companion diagnostic tests are used to identify safe and effective use of a corresponding targeted therapeutic. Precisely targeted mutated proteins can specifically inhibit cancerous cell growth and achieve remission with fewer side effects than traditional chemotherapies.

Keywords: Biomarkers; precision oncology; molecular diagnostics; companion diagnostics; patient profiling; personalized medicine; targeted therapy; genomics; transcriptomics; proteomics; metabolomics; imaging

Published Articles

Open Access Review
Biomarkers in renal cell carcinoma and their targeted therapies: a review
Renal cell carcinoma (RCC) is one of the most life-threatening urinary malignancies displaying poor response to radiotherapy and chemotherapy. Although in the recent past there have been tremendous
Published: October 25, 2023 Explor Target Antitumor Ther. 2023;4:941–961
2323 33 4
Open Access Original Article
Exploring the implications of modified advanced lung cancer inflammation index on outcomes in patients with advanced non-small cell lung cancer
Aim: Sarcopenia and skeletal muscle density (SMD) have been shown to be both predictive and prognostic marker in oncology. Advanced lung cancer inflammation index (ALI) has been shown to predict
Published: October 11, 2023 Explor Target Antitumor Ther. 2023;4:896–911
1737 28 3
Open Access Review
AGEs and RAGE: metabolic and molecular signatures of the glycation-inflammation axis in malignant or metastatic cancers
From attributing mutations to cancers with the advent of cutting-edge genetic technology in recent decades, to re-searching the age-old theory of intrinsic metabolic shift of cancers (Warburg’s gl
Published: September 28, 2023 Explor Target Antitumor Ther. 2023;4:812–849
4323 63 16
Open Access Review
Malignant tumors of the external auditory canal: diagnosis, treatment, genetic landscape, biomarkers, and clinical outcome
Malignant tumors of the external auditory canal (EAC) are rare neoplasms that appear in the head and neck area. A common feature of these malignancies is their rarity, as well as their delayed diagn
Published: September 21, 2023 Explor Target Antitumor Ther. 2023;4:801–811
2941 50 4
Open Access Original Article
Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer
Aim: The aim of this study was to investigate the feasibility of developing a deep learning (DL) algorithm for classifying brain metastases from non-small cell lung cancer (NSCLC) into epidermal
Published: August 30, 2023 Explor Target Antitumor Ther. 2023;4:657–668
1889 41 9
Open Access Original Article
Deep learning based clinico-radiological model for paediatric brain tumor detection and subtype prediction
Aim: Early diagnosis of paediatric brain tumors significantly improves the outcome. The aim is to study magnetic resonance imaging (MRI) features of paediatric brain tumors and to develop an auto
Published: August 30, 2023 Explor Target Antitumor Ther. 2023;4:669–684
1969 28 3
Open Access Review
Capitalizing glycomic changes for improved biomarker-based cancer diagnostics
Cancer serum biomarkers are valuable or even indispensable for cancer diagnostics and/or monitoring and, currently, many cancer serum markers are routinely used in the clinic. Most of those markers
Published: June 28, 2023 Explor Target Antitumor Ther. 2023;4:366–395
1795 33 8
Open Access Case Report
Complete response to third-line treatment with trifluridine/tipiracil (TAS-102) in stage IV colon adenocarcinoma
A clinical case of a 61-year-old female diagnosed with stage IV right colon adenocarcinoma (unresectable liver and multiple lymph node metastases at the time of diagnosis), Kirsten rat sarcoma viral
Published: April 27, 2023 Explor Target Antitumor Ther. 2023;4:307–315
1636 26 1