Predictive biomarkers: guiding personalized cancer therapies

Himanshu Sharma; Rashmi Pathak; Praveen Halagali; Vamshi Krishna Tippavajhala; Mahalaxmi Rathnanand

doi:10.1016/B978-0-443-29279-8.00011-9

Predictive biomarkers: guiding personalized cancer therapies

Himanshu Sharma
, Rashmi Pathak
, Praveen Halagali
, Vamshi Krishna Tippavajhala
, Mahalaxmi Rathnanand

Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Recently, tailored drugs that seek to enhance advantages while limiting negative consequences have transformed the face of treatment for cancer. Predictive indications, which provide vital information about the differing effects of various cancer therapies on certain individuals, are a major component of the new method. This chapter analyzes the important function that biomarkers with statistical significance play in influencing personalized cancer therapy. The fundamental ideas of predictive biomarkers, including their molecular and genetic foundations, are covered in detail in the first section of the chapter. This chapter’s second section analyzes recent innovations like liquid biopsy and genome sequencing that have fundamentally altered the study of and evaluation of prognostic biomarkers.

Original language	English
Title of host publication	The Potential of Cancer Biomarkers
Subtitle of host publication	From Discovery to Clinical Application
Publisher	Elsevier
Pages	239-262
Number of pages	24
ISBN (Electronic)	9780443292798
ISBN (Print)	9780443292804
DOIs	https://doi.org/10.1016/B978-0-443-29279-8.00011-9
Publication status	Published - 01-01-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

General Agricultural and Biological Sciences
General Biochemistry,Genetics and Molecular Biology

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10.1016/B978-0-443-29279-8.00011-9

Cite this

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abstract = "Recently, tailored drugs that seek to enhance advantages while limiting negative consequences have transformed the face of treatment for cancer. Predictive indications, which provide vital information about the differing effects of various cancer therapies on certain individuals, are a major component of the new method. This chapter analyzes the important function that biomarkers with statistical significance play in influencing personalized cancer therapy. The fundamental ideas of predictive biomarkers, including their molecular and genetic foundations, are covered in detail in the first section of the chapter. This chapter{\textquoteright}s second section analyzes recent innovations like liquid biopsy and genome sequencing that have fundamentally altered the study of and evaluation of prognostic biomarkers.",

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AU - Pathak, Rashmi

AU - Halagali, Praveen

AU - Tippavajhala, Vamshi Krishna

AU - Rathnanand, Mahalaxmi

PY - 2025/1/1

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AB - Recently, tailored drugs that seek to enhance advantages while limiting negative consequences have transformed the face of treatment for cancer. Predictive indications, which provide vital information about the differing effects of various cancer therapies on certain individuals, are a major component of the new method. This chapter analyzes the important function that biomarkers with statistical significance play in influencing personalized cancer therapy. The fundamental ideas of predictive biomarkers, including their molecular and genetic foundations, are covered in detail in the first section of the chapter. This chapter’s second section analyzes recent innovations like liquid biopsy and genome sequencing that have fundamentally altered the study of and evaluation of prognostic biomarkers.

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M3 - Chapter

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SN - 9780443292804

SP - 239

EP - 262

BT - The Potential of Cancer Biomarkers

PB - Elsevier

ER -

Predictive biomarkers: guiding personalized cancer therapies

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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