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Targeted Cancer Therapies

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 Therapies

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.
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Combination Therapies and Personalized Medicine

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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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Cancer Survival Analysis

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Adaptive Mechanisms in Cancer Cells

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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

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Knowledge integration in cancer: current landscape and future prospects.

John P A Ioannidis¹, Sheri D Schully, Tram Kim Lam

¹Stanford Prevention Research Center, 1265 Welch Rd, MSOB X306, Stanford University School of Medicine, Stanford, CA 94305, USA. jioannid@stanford.edu

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology

|October 25, 2012

Summary

Knowledge integration in cancer epidemiology needs improvement. Future research should prioritize prospective designs, data sharing, and collaborative meta-analyses to accelerate health discoveries.

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Area of Science:

Epidemiology
Biostatistics
Health Informatics

Background:

Knowledge integration is crucial for translating scientific discoveries into health benefits.
Cancer epidemiology research generates a vast amount of data, necessitating effective knowledge integration strategies.
Current knowledge integration methods often rely on retrospective data and traditional systematic reviews.

Purpose of the Study:

To examine the current landscape of knowledge integration in cancer epidemiology.
To identify limitations in existing approaches and propose improvements for accelerating research translation.

Main Methods:

Systematic literature search to identify meta-analyses in cancer epidemiology.
Analysis of trends in meta-analysis methodologies, including collaborative and prospective approaches.
Review of challenges and opportunities in knowledge management and synthesis.

Main Results:

Over 2,300 meta-analyses were identified, with a significant portion focusing on genetics and epigenetics.
While collaborative meta-analyses with individual-level data are increasing, most studies remain retrospective.
Concerns exist regarding spurious positive results from candidate gene meta-analyses.

Conclusions:

There is a need to move beyond retrospective knowledge management towards more robust and collaborative research designs.
Prospective research agendas, data registration, and public data availability can enhance the reliability and efficiency of cancer epidemiology research.
Improved knowledge integration is essential to accelerate the translation of cancer discoveries into tangible health outcomes.