Proteomic Insights into Cancer Initiation and Evolution

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".

Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 1068

Special Issue Editor

1. Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
2. Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, 55905, USA
Interests: cancer signaling; kinase; phosphorylation; post-translational modifications (PTMs); therapeutic targets; breast cancer; ovarian cancer; drug resistance

Special Issue Information

Dear Colleagues,

Proteomics has emerged as a powerful tool for dissecting the intricate networks of proteins and their interactions, providing insights into how aberrations in protein expression, post-translational modifications, and signaling pathways drive tumorigenesis. This Special Issue will delve into proteomic approaches that unveil the molecular signatures of cancer, identify novel biomarkers, and offer an enhanced understanding of the tumor microenvironment.

From the discovery of subtype-specific biomarkers to uncovering potential therapeutic targets, this Special Issue aims to offer a comprehensive overview of how proteomics is shaping cancer research. We invite authors to submit original research and review articles that focus on the innovative applications of proteomics in unraveling the complexities of cancer biology and translating these findings into clinical advances.

Dr. Xinyan Wu
Guest Editor

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Keywords

  • proteomic signatures in early cancer detection
  • proteomics of tumor microenvironment
  • tumor heterogeneity and proteomics
  • post-translational modifications and dysregulated signaling pathways driving invasion and metastasis
  • biomarker discovery for cancer subtypes
  • proteomics and targeted therapies
  • single-cell proteomics in cancer research
  • proteomics and drug resistance
  • clinical applications of proteomics

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Published Papers (1 paper)

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Research

18 pages, 2433 KiB  
Article
Lipid Profiles, Telomere Length, and the Risk of Malignant Tumors: A Mendelian Randomization and Mediation Analysis
by Shupeng Liu, Zhengzheng Fu, Hui Liu, Yinghui Wang, Meijuan Zhou, Zhenhua Ding and Zhijun Feng
Biomedicines 2025, 13(1), 13; https://doi.org/10.3390/biomedicines13010013 - 25 Dec 2024
Viewed by 753
Abstract
Background/Objectives: The relationship between lipid profiles, telomere length (TL), and cancer risk remains unclear. Methods: This study employed two-sample Mendelian randomization (MR) with mediation analysis to investigate their causal relationships, examining lipid profiles as exposure, TL as mediator, and nine cancer types as [...] Read more.
Background/Objectives: The relationship between lipid profiles, telomere length (TL), and cancer risk remains unclear. Methods: This study employed two-sample Mendelian randomization (MR) with mediation analysis to investigate their causal relationships, examining lipid profiles as exposure, TL as mediator, and nine cancer types as outcomes. We conducted our analysis using two-stage least squares (2SLS) regression integrated with inverse variance weighted (IVW) methods to address potential endogeneity and strengthen our causal inference. Results: we found that unfavorable lipid profiles were causally linked to increased TL (p < 0.05). TL showed positive causal associations with lung and hematologic cancers (OR > 1, p < 0.05). Direct associations were observed between total and low-density lipoprotein (LDL) cholesterol and gastric cancer (OR < 1, p < 0.05), and between remnant cholesterol and colorectal cancer (OR > 1, p < 0.05). Mediation analysis revealed TL as a significant mediator in the pathway from lipid profiles to cancer development (p < 0.05). No horizontal pleiotropy was detected. Conclusions: Our findings suggest that lipid metabolism disorders may influence cancer development through telomere regulation, particularly in lung and hematologic cancers. This emphasizes the importance of lipid management in cancer prevention and treatment, especially for these cancer types. Full article
(This article belongs to the Special Issue Proteomic Insights into Cancer Initiation and Evolution)
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