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Related Concept Videos

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
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Combination Therapies and Personalized Medicine02:50

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Bridging Discovery and Treatment: Cancer Biomarker.

Hengrui Liu1, Ilayda Karsidag2, Rebecca Golin3

  • 1Department of Biochemistry, University of Cambridge, Cambridge CB2 1QW, UK.

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|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Biomarkers are revolutionizing cancer care by enabling personalized treatments. This review covers detection methods, translational challenges, and AI-driven solutions to improve patient outcomes and overcome tumor heterogeneity.

Keywords:
cancer biomarkersmulti-omics technologiespersonalized medicineprecision oncologytranslational researchtumor heterogeneity

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Area of Science:

  • Oncology
  • Biomarker Discovery
  • Personalized Medicine

Background:

  • Biomarkers have significantly advanced cancer care by connecting molecular information with tailored treatment approaches.
  • The integration of diverse detection modalities is crucial for comprehensive cancer profiling.

Purpose of the Study:

  • To review the current landscape of cancer biomarker detection modalities.
  • To critically assess the challenges hindering the clinical implementation of biomarkers.
  • To explore emerging solutions and future directions for biomarker development and application.

Main Methods:

  • Comprehensive literature review of biomarker detection techniques.
  • Analysis of translational challenges in clinical implementation.
  • Exploration of emerging technologies and future research directions.

Main Results:

  • A wide spectrum of detection modalities exists, including tissue genomics, liquid biopsies (ctDNA, CTCs, extracellular vesicles), imaging/radiomics, and multi-omics.
  • Significant translational challenges impede clinical use, such as assay standardization, data integration, validation, regulatory hurdles, and cost.
  • Emerging solutions like AI-driven phenotyping, adaptive trials, and point-of-care assays show promise.

Conclusions:

  • Biomarkers are pivotal in guiding targeted and immune-based therapies.
  • Addressing translational challenges and leveraging new technologies can overcome tumor heterogeneity and resistance.
  • Expanding access and equitable adoption of biomarker-guided cancer care is essential for improving patient outcomes.