Quantitative proteomics characterization of cancer biomarkers and treatment

Xiao Li Yang; Yi Shi; Dan Dan Zhang; Rui Xin; Jing Deng; Ting Miao Wu; Hui Min Wang; Pei Yao Wang; Ji Bin Liu; Wen Li; Yu Shui Ma; Da Fu

doi:10.1016/j.omto.2021.04.006

Quantitative proteomics characterization of cancer biomarkers and treatment

Xiao Li Yang
, Yi Shi
, Dan Dan Zhang
, Rui Xin
, Jing Deng
, Ting Miao Wu
, Hui Min Wang
, Pei Yao Wang
, Ji Bin Liu
, Wen Li^*
, Yu Shui Ma^*
, Da Fu^*

^*Corresponding author for this work

Central South University of Forestry & Technology
Nantong University
Tongji University
Anhui Medical University

Research output: Contribution to journal › Review article › peer-review

29 Scopus citations

Abstract

Cancer accounted for 16% of all death worldwide in 2018. Significant progress has been made in understanding tumor occurrence, progression, diagnosis, treatment, and prognosis at the molecular level. However, genomics changes cannot truly reflect the state of protein activity in the body due to the poor correlation between genes and proteins. Quantitative proteomics, capable of quantifying the relatively different protein abundance in cancer patients, has been increasingly adopted in cancer research. Quantitative proteomics has great application potentials, including cancer diagnosis, personalized therapeutic drug selection, real-time therapeutic effects and toxicity evaluation, prognosis and drug resistance evaluation, and new therapeutic target discovery. In this review, the development, testing samples, and detection methods of quantitative proteomics are introduced. The biomarkers identified by quantitative proteomics for clinical diagnosis, prognosis, and drug resistance are reviewed. The challenges and prospects of quantitative proteomics for personalized medicine are also discussed.

Original language	English
Pages (from-to)	255-263
Number of pages	9
Journal	Molecular Therapy Oncolytics
Volume	21
DOIs	https://doi.org/10.1016/j.omto.2021.04.006
State	Published - 25 Jun 2021
Externally published	Yes

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

biomarker
cancer
diagnostic marker
quantitative proteomics
therapeutic target

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10.1016/j.omto.2021.04.006

Cite this

@article{94f1fbd8510941baa54c87c25348ac9f,

title = "Quantitative proteomics characterization of cancer biomarkers and treatment",

abstract = "Cancer accounted for 16\% of all death worldwide in 2018. Significant progress has been made in understanding tumor occurrence, progression, diagnosis, treatment, and prognosis at the molecular level. However, genomics changes cannot truly reflect the state of protein activity in the body due to the poor correlation between genes and proteins. Quantitative proteomics, capable of quantifying the relatively different protein abundance in cancer patients, has been increasingly adopted in cancer research. Quantitative proteomics has great application potentials, including cancer diagnosis, personalized therapeutic drug selection, real-time therapeutic effects and toxicity evaluation, prognosis and drug resistance evaluation, and new therapeutic target discovery. In this review, the development, testing samples, and detection methods of quantitative proteomics are introduced. The biomarkers identified by quantitative proteomics for clinical diagnosis, prognosis, and drug resistance are reviewed. The challenges and prospects of quantitative proteomics for personalized medicine are also discussed.",

keywords = "biomarker, cancer, diagnostic marker, quantitative proteomics, therapeutic target",

author = "Yang, \{Xiao Li\} and Yi Shi and Zhang, \{Dan Dan\} and Rui Xin and Jing Deng and Wu, \{Ting Miao\} and Wang, \{Hui Min\} and Wang, \{Pei Yao\} and Liu, \{Ji Bin\} and Wen Li and Ma, \{Yu Shui\} and Da Fu",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s)",

year = "2021",

month = jun,

day = "25",

doi = "10.1016/j.omto.2021.04.006",

language = "英语",

volume = "21",

pages = "255--263",

journal = "Molecular Therapy Oncolytics",

issn = "2372-7705",

publisher = "Cell Press",

}

TY - JOUR

T1 - Quantitative proteomics characterization of cancer biomarkers and treatment

AU - Yang, Xiao Li

AU - Shi, Yi

AU - Zhang, Dan Dan

AU - Xin, Rui

AU - Deng, Jing

AU - Wu, Ting Miao

AU - Wang, Hui Min

AU - Wang, Pei Yao

AU - Liu, Ji Bin

AU - Li, Wen

AU - Ma, Yu Shui

AU - Fu, Da

PY - 2021/6/25

Y1 - 2021/6/25

N2 - Cancer accounted for 16% of all death worldwide in 2018. Significant progress has been made in understanding tumor occurrence, progression, diagnosis, treatment, and prognosis at the molecular level. However, genomics changes cannot truly reflect the state of protein activity in the body due to the poor correlation between genes and proteins. Quantitative proteomics, capable of quantifying the relatively different protein abundance in cancer patients, has been increasingly adopted in cancer research. Quantitative proteomics has great application potentials, including cancer diagnosis, personalized therapeutic drug selection, real-time therapeutic effects and toxicity evaluation, prognosis and drug resistance evaluation, and new therapeutic target discovery. In this review, the development, testing samples, and detection methods of quantitative proteomics are introduced. The biomarkers identified by quantitative proteomics for clinical diagnosis, prognosis, and drug resistance are reviewed. The challenges and prospects of quantitative proteomics for personalized medicine are also discussed.

AB - Cancer accounted for 16% of all death worldwide in 2018. Significant progress has been made in understanding tumor occurrence, progression, diagnosis, treatment, and prognosis at the molecular level. However, genomics changes cannot truly reflect the state of protein activity in the body due to the poor correlation between genes and proteins. Quantitative proteomics, capable of quantifying the relatively different protein abundance in cancer patients, has been increasingly adopted in cancer research. Quantitative proteomics has great application potentials, including cancer diagnosis, personalized therapeutic drug selection, real-time therapeutic effects and toxicity evaluation, prognosis and drug resistance evaluation, and new therapeutic target discovery. In this review, the development, testing samples, and detection methods of quantitative proteomics are introduced. The biomarkers identified by quantitative proteomics for clinical diagnosis, prognosis, and drug resistance are reviewed. The challenges and prospects of quantitative proteomics for personalized medicine are also discussed.

KW - biomarker

KW - cancer

KW - diagnostic marker

KW - quantitative proteomics

KW - therapeutic target

UR - https://www.scopus.com/pages/publications/85105932622

U2 - 10.1016/j.omto.2021.04.006

DO - 10.1016/j.omto.2021.04.006

M3 - 文献综述

AN - SCOPUS:85105932622

SN - 2372-7705

VL - 21

SP - 255

EP - 263

JO - Molecular Therapy Oncolytics

JF - Molecular Therapy Oncolytics

ER -

Quantitative proteomics characterization of cancer biomarkers and treatment

Abstract

UN SDGs

Keywords

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