Literature DB >> 34063807

Proteomics, Personalized Medicine and Cancer.

Miao Su1, Zhe Zhang1, Li Zhou1, Chao Han1, Canhua Huang1, Edouard C Nice2.   

Abstract

As of 2020 the human genome and proteome are both at >90% completion based on high stringency analyses. This has been largely achieved by major technological advances over the last 20 years and has enlarged our understanding of human health and disease, including cancer, and is supporting the current trend towards personalized/precision medicine. This is due to improved screening, novel therapeutic approaches and an increased understanding of underlying cancer biology. However, cancer is a complex, heterogeneous disease modulated by genetic, molecular, cellular, tissue, population, environmental and socioeconomic factors, which evolve with time. In spite of recent advances in treatment that have resulted in improved patient outcomes, prognosis is still poor for many patients with certain cancers (e.g., mesothelioma, pancreatic and brain cancer) with a high death rate associated with late diagnosis. In this review we overview key hallmarks of cancer (e.g., autophagy, the role of redox signaling), current unmet clinical needs, the requirement for sensitive and specific biomarkers for early detection, surveillance, prognosis and drug monitoring, the role of the microbiome and the goals of personalized/precision medicine, discussing how emerging omics technologies can further inform on these areas. Exemplars from recent onco-proteogenomic-related publications will be given. Finally, we will address future perspectives, not only from the standpoint of perceived advances in treatment, but also from the hurdles that have to be overcome.

Entities:  

Keywords:  HUPO; biomarkers; cancer; microbiome; personalized/precision medicine; proteomics

Year:  2021        PMID: 34063807     DOI: 10.3390/cancers13112512

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  4 in total

1.  Computational Screening of Anti-Cancer Drugs Identifies a New BRCA Independent Gene Expression Signature to Predict Breast Cancer Sensitivity to Cisplatin.

Authors:  Jean Berthelet; Momeneh Foroutan; Dharmesh D Bhuva; Holly J Whitfield; Farrah El-Saafin; Joseph Cursons; Antonin Serrano; Michal Merdas; Elgene Lim; Emmanuelle Charafe-Jauffret; Christophe Ginestier; Matthias Ernst; Frédéric Hollande; Robin L Anderson; Bhupinder Pal; Belinda Yeo; Melissa J Davis; Delphine Merino
Journal:  Cancers (Basel)       Date:  2022-05-13       Impact factor: 6.575

Review 2.  Integrating Molecular Biomarker Inputs Into Development and Use of Clinical Cancer Therapeutics.

Authors:  Anna D Louie; Kelsey Huntington; Lindsey Carlsen; Lanlan Zhou; Wafik S El-Deiry
Journal:  Front Pharmacol       Date:  2021-10-19       Impact factor: 5.810

3.  Nanoengineering a metal-organic framework for osteosarcoma chemo-immunotherapy by modulating indoleamine-2,3-dioxygenase and myeloid-derived suppressor cells.

Authors:  Qingxin Fan; Jing Zuo; Hailong Tian; Canhua Huang; Edouard C Nice; Zheng Shi; Qingquan Kong
Journal:  J Exp Clin Cancer Res       Date:  2022-05-03

4.  Application of two-dimensional difference gel electrophoresis to identify protein changes between center, margin, and adjacent non-tumor tissues obtained from non-small-cell lung cancer with adenocarcinoma or squamous cell carcinoma subtype.

Authors:  Andrzej Ciereszko; Mariola A Dietrich; Mariola Słowińska; Joanna Nynca; Michał Ciborowski; Monika M Kaczmarek; Kamil Myszczyński; Joanna Kiśluk; Anna Majewska; Anna Michalska-Falkowska; Natalia Kodzik; Joanna Reszeć; Ewa Sierko; Jacek Nikliński
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

  4 in total

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