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Updated: Nov 3, 2025
08:08
Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
16.6K
Proteomics, Personalized Medicine and Cancer
Miao Su1, Zhe Zhang1, Li Zhou1
1State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu 610041, China.
Cancers
|June 2, 2021
Summary
Advances in genomics and proteomics aid personalized cancer medicine. However, complex cancers still require better biomarkers for early detection and improved treatments, especially for aggressive forms.
Area of Science:
- Genomics and Proteomics
- Cancer Biology
- Personalized Medicine
Background:
- Human genome and proteome >90% completion achieved through technological advances.
- Increased understanding of human health, disease, and cancer biology supports personalized medicine.
- Cancer remains complex and heterogeneous, with poor prognosis for some types despite treatment advances.
Purpose of the Study:
- Overview key cancer hallmarks, unmet clinical needs, and biomarker requirements.
- Discuss the role of the microbiome and personalized medicine goals.
- Explore how emerging omics technologies can inform cancer research and treatment.
Main Methods:
- Review of major technological advances in omics over the last 20 years.
- Analysis of current unmet clinical needs in cancer detection and treatment.
- Discussion of emerging omics technologies and their application in cancer research.
Main Results:
- Genomic and proteomic data enhance understanding of cancer biology and personalized medicine.
- Need for sensitive biomarkers for early detection, surveillance, prognosis, and drug monitoring is critical.
- Omics technologies offer potential to address challenges in complex cancers.
Conclusions:
- Continued advancements in omics are crucial for improving early cancer detection and treatment strategies.
- Personalized/precision medicine holds promise but requires overcoming challenges in understanding cancer heterogeneity.
- Future perspectives involve integrating omics data to address hurdles in cancer care and patient outcomes.
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