First insight about the ability of specific glycerophospholipids to discriminate non-small cell lung cancer subtypes

Sieminska, Julia; Miniewska, Katarzyna; Mroz, Robert; Sierko, Ewa; Naumnik, Wojciech; Kisluk, Joanna; Michalska-Falkowska, Anna; Reszec, Joanna; Kozlowski, Miroslaw; Nowicki, Lukasz; Moniuszko, Marcin; Kretowski, Adam; Niklinski, Jacek; Ciborowski, Michal; Godzien, Joanna

doi:10.3389/fmolb.2024.1379631

Cited by 2 publications

(1 citation statement)

References 57 publications

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“…Herein, we present lipid classification and functions, and lipid extraction and analysis techniques used in lipodomics analysis, including tandem MS, MS/MS or MS n [ 123 , 124 , 125 , 126 ]. We shed light on ways in which mass spectrometric technology has become much more efficient in characterizing and identifying molecular lipid species in total lipid extracts.…”

Section: Discussionmentioning

confidence: 99%

Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer

Nassar,

Nie,

Zhang

et al. 2024

Metabolites

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For either healthy or diseased organisms, lipids are key components for cellular membranes; they play important roles in numerous cellular processes including cell growth, proliferation, differentiation, energy storage and signaling. Exercise and disease development are examples of cellular environment alterations which produce changes in these networks. There are indications that alterations in lipid metabolism contribute to the development and progression of a variety of cancers. Measuring such alterations and understanding the pathways involved is critical to fully understand cellular metabolism. The demands for this information have led to the emergence of lipidomics, which enables the large-scale study of lipids using mass spectrometry (MS) techniques. Mass spectrometry has been widely used in lipidomics and allows us to analyze detailed lipid profiles of cancers. In this article, we discuss emerging strategies for lipidomics by mass spectrometry; targeted, as opposed to global, lipid analysis provides an exciting new alternative method. Additionally, we provide an introduction to lipidomics, lipid categories and their major biological functions, along with lipidomics studies by mass spectrometry in cancer samples. Further, we summarize the importance of lipid metabolism in oncology and tumor microenvironment, some of the challenges for lipodomics, and the potential for targeted approaches for screening pharmaceutical candidates to improve the therapeutic efficacy of treatment in cancer patients.

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Section: Discussionmentioning

confidence: 99%

Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer

Nassar,

Nie,

Zhang

et al. 2024

Metabolites

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Lung Cancer Subtyping: A Short Review

Siddique,

Shehata,

Ghazal

et al. 2024

Cancers

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As of 2022, lung cancer is the most commonly diagnosed cancer worldwide, with the highest mortality rate. There are three main histological types of lung cancer, and it is more important than ever to accurately identify the subtypes since the development of personalized, type-specific targeted therapies that have improved mortality rates. Traditionally, the gold standard for the confirmation of histological subtyping is tissue biopsy and histopathology. This, however, comes with its own challenges, which call for newer sampling techniques and adjunctive tools to assist in and improve upon the existing diagnostic workflow. This review aims to list and describe studies from the last decade (n = 47) that investigate three such potential omics techniques—namely (1) transcriptomics, (2) proteomics, and (3) metabolomics, as well as immunohistochemistry, a tool that has already been adopted as a diagnostic adjunct. The novelty of this review compared to similar comprehensive studies lies with its detailed description of each adjunctive technique exclusively in the context of lung cancer subtyping. Similarities between studies evaluating individual techniques and markers are drawn, and any discrepancies are addressed. The findings of this study indicate that there is promising evidence that supports the successful use of omics methods as adjuncts to the subtyping of lung cancer, thereby directing clinician practice in an economical and less invasive manner.

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First insight about the ability of specific glycerophospholipids to discriminate non-small cell lung cancer subtypes

Cited by 2 publications

References 57 publications

Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer

Is Lipid Metabolism of Value in Cancer Research and Treatment? Part I- Lipid Metabolism in Cancer

Lung Cancer Subtyping: A Short Review

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