Metabolomics-Driven Biomarker Discovery for Breast Cancer Prognosis and Diagnosis

被引:1
作者
Kaur, Rasanpreet [1 ]
Gupta, Saurabh [1 ]
Kulshrestha, Sunanda [1 ]
Khandelwal, Vishal [1 ]
Pandey, Swadha [1 ,2 ]
Kumar, Anil [3 ]
Sharma, Gaurav [4 ,5 ,6 ]
Kumar, Umesh [7 ]
Parashar, Deepak [2 ]
Das, Kaushik [8 ]
机构
[1] GLA Univ, Inst Appl Sci & Humanities, Dept Biotechnol, Mathura 281406, Uttar Pradesh, India
[2] Med Coll Wisconsin, Dept Med, Div Hematol & Oncol, Milwaukee, WI 53226 USA
[3] Natl Inst Immunol, New Delhi 110067, India
[4] Univ Texas Southwestern Med Ctr, Cardiovasc & Thorac Surg, Dallas, TX 75390 USA
[5] Univ Texas Southwestern Med Ctr, Adv Imaging Res Ctr AIRC, Dallas, TX 75390 USA
[6] Univ Texas Southwestern Med Ctr, Biomed Engn, Dallas, TX 75390 USA
[7] Univ Courses Campus, Inst Management Studies Ghaziabad, Dept Biosci, Ghaziabad 201015, Uttar Pradesh, India
[8] Natl Inst Biomed Genom, Biotechnol Res & Innovat Council, Kalyani 741251, W Bengal, India
关键词
metabolomics; breast cancer; therapeutics; biomarkers; metastasis; ACTIVATED PROTEIN-KINASE; MASS-SPECTROMETRY; LIQUID-CHROMATOGRAPHY; GLUTAMINE-METABOLISM; PRECISION MEDICINE; LIPID-METABOLISM; IN-VIVO; HR-MAS; EXPRESSION; GENE;
D O I
10.3390/cells14010005
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Breast cancer is a cancer with global prevalence and a surge in the number of cases with each passing year. With the advancement in science and technology, significant progress has been achieved in the prevention and treatment of breast cancer to make ends meet. The scientific intradisciplinary subject of "metabolomics" examines every metabolite found in a cell, tissue, system, or organism from different sources of samples. In the case of breast cancer, little is known about the regulatory pathways that could be resolved through metabolic reprogramming. Evidence related to the significant changes taking place during the onset and prognosis of breast cancer can be obtained using metabolomics. Innovative metabolomics approaches identify metabolites that lead to the discovery of biomarkers for breast cancer therapy, diagnosis, and early detection. The use of diverse analytical methods and instruments for metabolomics includes Magnetic Resonance Spectroscopy, LC/MS, UPLC/MS, etc., which, along with their high-throughput analysis, give insights into the metabolites and the molecular pathways involved. For instance, metabolome research has led to the discovery of the glutamate-to-glutamate ratio and aerobic glycolysis as biomarkers in breast cancer. The present review comprehends the updates in metabolomic research and its processes that contribute to breast cancer prognosis and metastasis. The metabolome holds a future, and this review is an attempt to amalgamate the present relevant literature that might yield crucial insights for creating innovative therapeutic strategies aimed at addressing metastatic breast cancer.
引用
收藏
页数:32
相关论文
共 226 条
  • [81] Assessment of early docetaxel response in an experimental model of human breast cancer using DCE-MRI, ex vivo HR MAS, and in vivo 1H MRS
    Jensen, Line R.
    Huuse, Else M.
    Bathen, Tone F.
    Goa, Pal E.
    Bofin, Anna M.
    Pedersen, Tina B.
    Lundgren, Steinar
    Gribbestad, Ingrid S.
    [J]. NMR IN BIOMEDICINE, 2010, 23 (01) : 56 - 65
  • [82] Metabolic Associations of Reduced Proliferation and Oxidative Stress in Advanced Breast Cancer
    Jerby, Livnat
    Wolf, Lior
    Denkert, Carsten
    Stein, Gideon Y.
    Hilvo, Mika
    Oresic, Matej
    Geiger, Tamar
    Ruppin, Eytan
    [J]. CANCER RESEARCH, 2012, 72 (22) : 5712 - 5720
  • [83] Genome- and transcriptome-wide association studies of 386,000 Asian and European-ancestry women provide new insights into breast cancer genetics
    Jia, Guochong
    Ping, Jie
    Shu, Xiang
    Yang, Yaohua
    Cai, Qiuyin
    Kweon, Sun-Seog
    Choi, Ji-Yeob
    Kubo, Michiaki
    Park, Sue K.
    Bolla, Manjeet K.
    Dennis, Joe
    Wang, Qin
    Guo, Xingyi
    Li, Bingshan
    Tao, Ran
    Aronson, Kristan J.
    Chan, Tsun L.
    Gao, Yu-Tang
    Hartman, Mikael
    Ho, Weang Kee
    Ito, Hidemi
    Iwasaki, Motoki
    Iwata, Hiroji
    John, Esther M.
    Kasuga, Yoshio
    Kim, Mi-Kyung
    Kurian, Allison W.
    Kwong, Ava
    Li, Jingmei
    Lophatananon, Artitaya
    Low, Siew-Kee
    Mariapun, Shivaani
    Matsuda, Koichi
    Matsuo, Keitaro
    Muir, Kenneth
    Noh, Dong-Young
    Park, Boyoung
    Park, Min-Ho
    Shen, Chen-Yang
    Shin, Min-Ho
    Spinelli, John J.
    Takahashi, Atsushi
    Tseng, Chiuchen
    Tsugane, Shoichiro
    Wu, Anna H.
    Yamaji, Taiki
    Zheng, Ying
    Dunning, Alison M.
    Pharoah, Paul D. P.
    Teo, Soo-Hwang
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2022, 109 (12) : 2185 - 2195
  • [84] Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities
    Jiang, Yi-Zhou
    Ma, Ding
    Jin, Xi
    Xiao, Yi
    Yu, Ying
    Shi, Jinxiu
    Zhou, Yi-Fan
    Fu, Tong
    Lin, Cai-Jin
    Dai, Lei-Jie
    Liu, Cheng-Lin
    Zhao, Shen
    Su, Guan-Hua
    Hou, Wanwan
    Liu, Yaqing
    Chen, Qingwang
    Yang, Jingcheng
    Zhang, Naixin
    Zhang, Wen-Juan
    Liu, Wei
    Ge, Weigang
    Yang, Wen-Tao
    You, Chao
    Gu, Yajia
    Kaklamani, Virginia
    Bertucci, Francois
    Verschraegen, Claire
    Daemen, Anneleen
    Shah, Nakul M.
    Wang, Ting
    Guo, Tiannan
    Shi, Leming
    Perou, Charles M.
    Zheng, Yuanting
    Huang, Wei
    Shao, Zhi-Ming
    [J]. NATURE CANCER, 2024, 5 (04) : 673 - 690
  • [85] Regulation of glycolytic metabolism by autophagy in liver cancer involves selective autophagic degradation of HK2 (hexokinase 2)
    Jiao, Lin
    Zhang, Hai-Liang
    Li, Dan-Dan
    Yang, Ke-Li
    Tang, Jun
    Li, Xuan
    Ji, Jiao
    Yu, Yan
    Wu, Rui-Yan
    Ravichandran, Senthilkumar
    Liu, Jian-Jun
    Feng, Gong-Kan
    Chen, Min-Shan
    Zeng, Yi-Xin
    Deng, Rong
    Zhu, Xiao-Feng
    [J]. AUTOPHAGY, 2018, 14 (04) : 671 - 684
  • [86] Metabolomics: beyond biomarkers and towards mechanisms
    Johnson, Caroline H.
    Ivanisevic, Julijana
    Siuzdak, Gary
    [J]. NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2016, 17 (07) : 451 - 459
  • [87] AMP-activated protein kinase induces a p53-dependent metabolic checkpoint
    Jones, RG
    Plas, DR
    Kubek, S
    Buzzai, M
    Mu, J
    Xu, Y
    Birnbaum, MJ
    Thompson, CB
    [J]. MOLECULAR CELL, 2005, 18 (03) : 283 - 293
  • [88] Exosomal Metabolic Signatures Are Associated with Differential Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer
    Joshi, Shriya
    Garlapati, Chakravarthy
    Bhattarai, Shristi
    Su, Yixin
    Rios-Colon, Leslimar
    Deep, Gagan
    Torres, Mylin A.
    Aneja, Ritu
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (10)
  • [89] A plasma metabolomic signature discloses human breast cancer
    Jove, Mariona
    Collado, Ricardo
    Luis Quiles, Jose
    Ramirez-Tortosa, Mari-Carmen
    Sol, Joaquim
    Ruiz-Sanjuan, Maria
    Fernandez, Monica
    de la Torre Cabrera, Capilla
    Ramirez-Tortosa, Cesar
    Granados-Principal, Sergio
    Sanchez-Rovira, Pedro
    Pamplona, Reinald
    [J]. ONCOTARGET, 2017, 8 (12) : 19522 - 19533
  • [90] Genome-wide Association Analysis of Proinflammatory Cytokines and Gene-lifestyle Interaction for Invasive Breast Cancer Risk: The WHI dbGaP Study
    Jung, Su Yon
    Scott, Peter A.
    Papp, Jeanette C.
    Sobel, Eric M.
    Pellegrini, Matteo
    Yu, Herbert
    Han, Sihao
    Zhang, Zuo-Feng
    [J]. CANCER PREVENTION RESEARCH, 2021, 14 (01) : 41 - 54