P-Glycoprotein Drives Glioblastoma Survival and Chemotherapy Resistance: Potential as a Promising Liquid Biopsy Biomarker.

IF 4.7 2区 医学 Q1 PATHOLOGY American Journal of Pathology Pub Date : 2025-01-06 DOI:10.1016/j.ajpath.2024.12.004
Carlos Pilotto Heming, Isabel de Souza Barbosa, Renan Lyra Miranda, Odile Nogueira Ugarte, Vitória Santório de São José, Vivaldo Moura-Neto, Veronica Aran
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引用次数: 0

Abstract

Drug resistance is a major challenge in cancer therapy, and the expression of efflux pumps such as P-glycoprotein (P-gp, ABCB1) often correlates with poor prognosis in various tumors, including glioblastoma (GB). Considering that different roles for these proteins have been established in the biology of various tumors, this study aimed to investigate the functions of P-gp in GB-derived cells by evaluating its survival, migratory, and apoptosis-regulating capabilities, as well as its potential as a liquid biopsy biomarker. P-gp expression was diminished via siRNA to determine its exact role in GB biology. The P-gp mRNA levels were evaluated by using quantitative real-time RT-PCR. With respect to liquid biopsy, circulating cell-free RNA was extracted from plasma belonging to patients diagnosed with GB, and P-gp levels were compared with matching tumor tissues using digital PCR. The results showed that P-gp silencing significantly decreased viability, increased apoptosis, and enhanced chemotherapy sensitivity in GB cells, although it did not affect migratory patterns. Finally, P-gp expression levels in circulating cell-free RNA from patients with GB matched tumor tissue, whereas healthy volunteers seemed to bear no circulating P-gp. Taken together, the results indicate that P-gp affects GB tumor biology beyond its known role in drug resistance and could integrate a broader molecular signature for future diagnosis via liquid biopsy.

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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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