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Updated: May 22, 2026

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

Molecular tools for companion diagnostics.

Agata Zieba¹, Karin Grannas, Ola Söderberg

¹Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, SE-75185 Uppsala, Sweden. agata.zieba@igp.uu.se

New Biotechnology

|May 29, 2012

Summary

This summary is machine-generated.

Companion diagnostics enable personalized cancer therapy by matching treatments to individual tumor molecular features. These tests guide drug development, clinical trials, and patient selection for tailored treatments, improving outcomes.

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Published on: April 11, 2016

Area of Science:

Oncology
Molecular Diagnostics
Personalized Medicine

Background:

Cancer's heterogeneity leads to variable treatment responses.
Personalized medicine aims to tailor therapies based on individual tumor molecular profiles.
Companion diagnostics are crucial for advancing personalized cancer care.

Purpose of the Study:

To review technologies for companion diagnostics.
To highlight methods for analyzing DNA, RNA, and protein markers.
To discuss the role of companion diagnostics in drug development and patient stratification.

Main Methods:

Review of companion diagnostic technologies.
Focus on laboratory-developed methods for molecular analysis.
Analysis of DNA, RNA, and protein biomarkers.

Main Results:

Companion diagnostics, exemplified by HercepTest and Herceptin, demonstrate the efficacy of patient-tailored therapies.
Various technologies exist for analyzing molecular markers at DNA, RNA, and protein levels.
Laboratory-developed methods can facilitate drug development and patient stratification.

Conclusions:

Companion diagnostics are essential for personalized cancer therapy.
Technological advancements enable precise molecular profiling for treatment selection.
Companion diagnostics improve drug development and clinical decision-making in oncology.