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Related Concept Videos

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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 specific...
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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 specific...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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...
Cancer02:18

Cancer

Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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Related Experiment Video

Updated: May 22, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Transforming Cancer Care: Genomic Profiling, AI, and Next-Generation Drug Delivery Systems.

Kaushal Aggarwal1, Priya Jindal2, AkashVikal3

  • 1Department of Pharmaceutics, ISF College of Pharmacy, GT Road, Moga-142001, Punjab, India.

Current Genomics
|May 21, 2026
PubMed
Summary
This summary is machine-generated.

Cancer genomics advances, including liquid biopsy and immunogenomics, offer personalized treatments. Machine learning aids in analyzing complex data for new therapeutic targets and improved cancer care.

Keywords:
CRISPRCancer genomicsimmunogenomicsliquid biopsyoncology

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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

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Related Experiment Videos

Last Updated: May 22, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Cancer genetics provides insights into tumor evolution and treatment targets.
  • Advances in sequencing technologies enable precise molecular profiling of cancers.
  • Targeted and individualized treatment approaches are being developed based on molecular profiles.

Purpose of the Study:

  • To review recent advancements in cancer genomics.
  • To discuss the roles of liquid biopsy, tumor heterogeneity, and immunogenomics.
  • To explore the application of machine learning in analyzing genomic data for cancer treatment.

Main Methods:

  • Review of recent literature on cancer genomics.
  • Discussion of sequencing technologies (whole-genome, transcriptome).
  • Exploration of liquid biopsy techniques and biomarkers (ctDNA, CTCs, exosomes).

Main Results:

  • Genomic profiling leads to targeted cancer therapies.
  • Liquid biopsy offers a non-invasive method for detecting cancer markers.
  • Immunogenomics and machine learning enhance cancer management and drug discovery.

Conclusions:

  • The integration of genomics, immunogenomics, and liquid biopsy promises novel, personalized cancer treatments.
  • Machine learning is crucial for analyzing large genomic datasets and identifying therapeutic targets.
  • Innovative drug delivery technologies and ethical considerations are vital for successful implementation of new cancer therapies.