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Related Experiment Video

Updated: Mar 22, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Omics Profiling in Precision Oncology.

Kun-Hsing Yu¹, Michael Snyder²

¹From the ‡Department of Genetics, Stanford University School of Medicine, Stanford, California; §Biomedical Informatics Program, Stanford University School of Medicine, Stanford, California.

Molecular & Cellular Proteomics : MCP

|April 22, 2016

Summary

This summary is machine-generated.

Precision oncology leverages advanced omics analysis to understand cancer biology. This review covers techniques, key findings, and future research directions for targeted cancer therapies.

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Last Updated: Mar 22, 2026

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

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Published on: April 11, 2016

Area of Science:

Oncology
Genomics
Proteomics

Background:

Cancer remains a leading cause of death globally, driving the need for precision medicine.
High-throughput omics analysis provides deep insights into tumor molecular mechanisms.
Precision medicine aims to tailor treatments based on individual molecular profiles.

Purpose of the Study:

To review techniques for tumor omics analysis.
To summarize key findings from cancer omics studies.
To identify future research directions in precision oncology.

Main Methods:

Review of omics analysis techniques (genomics, transcriptomics, proteomics, etc.).
Synthesis of published cancer omics research findings.
Analysis of current trends and gaps in precision oncology.

Main Results:

Omics studies have identified actionable mutations and prognostic biomarkers.
These studies offer insights into cancer biology and therapeutic strategies like immunotherapy.
Significant progress has been made in understanding tumor heterogeneity.

Conclusions:

Omics technologies are crucial for advancing precision oncology.
Further research is needed to fully realize the potential of omics in cancer treatment.
Integration of multi-omics data will enhance personalized cancer care.