Oncoproteomics: Towards Personalized Precision Medicine

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Proteins and Proteomics".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3400

Special Issue Editors


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Guest Editor
Department of Molecular Sciences, School of Life Sciences, Macquarie University, Macquarie, NSW 2109, Australia
Interests: colorectal cancer; proteomics; mass spectrometry; antibody; plasma biomarker; proteins; cancer patient survival; tumor recurrence/relapse; mold biotoxin; chronic inflammatory response syndrome (CIRS)
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Macquarie Medical School, Macquarie University, Macquarie Park, NSW 2109, Australia
Interests: colorectal cancer; proteomics; mass spectrometry; antibody; plasma biomarker; proteins; cancer patient survival; tumor recurrence/relapse; mold biotoxin; chronic inflammatory response syndrome (CIRS)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Proteomics technology in the last decade has exponentially improved, leading to it now been seen as a viable contender or at least complimentary to genomics. Its contribution to medicine and specifically oncology has perhaps been the most exciting with the ability now to discern with great accuracy distinguishing molecular characteristics of individuals leading to a hint of true personalized medicine. This is especially true in cancer therapeutics where the recent boon in immunotherapy has had a noticeable effect on survival rates of various cancers. With this special issue we wish to highlight the role proteomics has had on the development of personalized precision medicine in cancer specifically.

The issue will cover topics such as developments in DIA/SWATH in diagnosis of cancer, progress in using proteomics for tissue typing and early diagnosis, the use of AI and novel bioinformatics methodologies in decerning individual patient data and predicting success of therapeutics and more. We welcome suggestions and topical research papers and reviews to highlight progress in this area of proteomics.

Dr. Abidali Mohamedali
Dr. Seong Beom Ahn
Guest Editors

Manuscript Submission Information

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Keywords

  • oncoprotomics
  • mass spectrometry
  • DIA/SWATH
  • early diagnosis
  • immunotherapy
  • cancer proteomics
  • precision medicine
  • personalized medicine

Published Papers (1 paper)

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Review

15 pages, 1745 KiB  
Review
Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine
by Juliana P. L. Gonçalves, Christine Bollwein and Kristina Schwamborn
Life 2022, 12(7), 1037; https://doi.org/10.3390/life12071037 - 12 Jul 2022
Cited by 14 | Viewed by 2991
Abstract
Novel profiling methodologies are redefining the diagnostic capabilities and therapeutic approaches towards more precise and personalized healthcare. Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the tissue, providing a more complete assessment [...] Read more.
Novel profiling methodologies are redefining the diagnostic capabilities and therapeutic approaches towards more precise and personalized healthcare. Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the tissue, providing a more complete assessment of the disease. Mass spectrometry imaging, as a tissue typing approach, provides information on the molecular level directly measured from the tissue. Lipids, metabolites, glycans, and proteins can be used for better understanding imbalances in the DNA to RNA to protein translation, which leads to aberrant cellular behavior. Several studies have explored the capabilities of this technology to be applied to tumor subtyping, patient prognosis, and tissue profiling for intraoperative tissue evaluation. In the future, intercenter studies may provide the needed confirmation on the reproducibility, robustness, and applicability of the developed classification models for tissue characterization to assist in disease management. Full article
(This article belongs to the Special Issue Oncoproteomics: Towards Personalized Precision Medicine)
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