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Updated: Jul 22, 2025

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms
Eduardo Alvarez-Rivera1, Emanuel J Ortiz-Hernández1, Elyette Lugo1
1Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA.
Abstract:
Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.
Insights
Proteomics advances enable discovery of cancer biomarkers for disease prediction and precision medicine. Mass spectrometry aids validation, with potential applications in understanding virus-associated malignancies like those in HIV-1 patients.
Area of Science:
- Proteomics and molecular biology
- Cancer research and precision medicine
- Virology and oncogenesis
Background:
- Proteomics offers deep insights into cellular molecular regulation and signaling pathways.
- Data mining in proteomics aids in identifying disease mechanisms and prognostic markers for cancer.
- Mass spectrometry (MS) is crucial for validating protein biomarkers.
Purpose of the Study:
- To review current developments in MS-based quantitative proteomics for clinical applications.
- To explore the integration of proteomics data in cancer precision medicine.
- To discuss oncogenic virus-associated malignancies, including those in Acquired Immunodeficiency Syndrome (AIDS) and Human Immunodeficiency Virus type-1 (HIV-1) patients.
Main Methods:
- Review of recent advancements in MS sensitivity and quantitative proteomics.
- Analysis of data mining approaches for biomarker discovery.
- Discussion of oncogenic mechanisms of Human Immunodeficiency Virus type-1 (HIV-1) proteins.
Main Results:
- Proteomics, particularly MS, is advancing biomarker discovery and validation for cancer.
- Quantitative proteomics is moving towards clinical settings for precision medicine applications.
- HIV-1 proteins contribute to oncogenesis through various cellular stresses and interactions.
Conclusions:
- Proteomics holds significant promise for advancing cancer precision medicine through biomarker discovery and validation.
- Understanding the role of viral proteins in oncogenesis is critical for managing virus-associated cancers.
- Integrating quantitative proteomics into clinical practice will enhance cancer diagnosis, prognosis, and treatment.
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