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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Exploitation of Gene Expression and Cancer Biomarkers in Paving the Path to Era of Personalized Medicine
Hala Fawzy Mohamed Kamel1, Hiba Saeed A Bagader Al-Amodi2
1Biochemistry Department, Faculty of Medicine, Umm AL-Qura University, Makhha 21955, Saudi Arabia; Medical Biochemistry Department, Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt.
Abstract:
Cancer therapy agents have been used extensively as cytotoxic drugs against tissue or organ of a specific type of cancer. With the better understanding of molecular mechanisms underlying carcinogenesis and cellular events during cancer progression and metastasis, it is now possible to use targeted therapy for these molecular events. Targeted therapy is able to identify cancer patients with dissimilar genetic defects at cellular level for the same cancer type and consequently requires individualized approach for treatment. Cancer therapy begins to shift steadily from the traditional approach of "one regimen for all patients" to a more individualized approach, through which each patient will be treated specifically according to their specific genetic defects. Personalized medicine accordingly requires identification of indicators or markers that guide in the decision making of such therapy to the chosen patients for more effective therapy. Cancer biomarkers are frequently used in clinical practice for diagnosis and prognosis, as well as identification of responsive patients and prediction of treatment response of cancer patient. The rapid breakthrough and development of microarray and sequencing technologies is probably the main tool for paving the way toward "individualized biomarker-driven cancer therapy" or "personalized medicine". In this review, we aim to provide an updated knowledge and overview of the current landscape of cancer biomarkers and their role in personalized medicine, emphasizing the impact of genomics on the implementation of new potential targeted therapies and development of novel cancer biomarkers in improving the outcome of cancer therapy.
Insights
Personalized medicine revolutionizes cancer treatment by using genetic biomarkers to guide targeted therapies. This approach moves beyond one-size-fits-all treatments for improved patient outcomes.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Traditional cancer therapy relies on cytotoxic drugs with broad effects.
- Advancements in understanding cancer's molecular mechanisms enable targeted interventions.
- The need for individualized treatment strategies is increasing.
Purpose of the Study:
- To provide an overview of current cancer biomarkers.
- To highlight the role of biomarkers in personalized medicine.
- To emphasize the impact of genomics on targeted cancer therapies.
Main Methods:
- Review of existing literature on cancer biomarkers and personalized medicine.
- Analysis of the role of microarray and sequencing technologies.
- Emphasis on genomic data in biomarker development and targeted therapy implementation.
Main Results:
- Cancer biomarkers are crucial for diagnosis, prognosis, and predicting treatment response.
- Genomic technologies facilitate the identification of specific genetic defects.
- Personalized medicine enables tailored treatment strategies based on individual genetic profiles.
Conclusions:
- Personalized medicine, driven by biomarkers and genomics, is shifting cancer care.
- Novel biomarker development and targeted therapies are improving cancer treatment outcomes.
- Genomic insights are key to realizing the potential of individualized cancer therapy.
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